/seawolfby00londrich.pdf.
If you’re attempting to reference an e-book from an e-reader, such as a Nook or Kindle, use the EasyBib MLA citation generator. We’ll help you structure your e-book references in no time!
| Author’s Last Name, First Name. “Title of Web Page.” , Website publisher (if different from website name), date published, URL.
| |
| Sabat, Yaika. “Puerto Rican Writers, Poets, and Essayists.” , Riot New Media Group, 22 Nov. 2017, bookriot.com/puerto-rican-writers/.
| |
| Web Page Author’s Last Name…
| (Web Page Author’s Last Name)
|
| Sabat…
| (Sabat)
|
If you need more information on how to cite websites in MLA , check out the full-length EasyBib guide! Or, take the guesswork out of forming your references and try the EasyBib automatic MLA citation machine!
Need an APA citation website or help with another popular referencing style? EasyBib Plus may be exactly what you need.
| Article Author’s Last Name, First name. “Title of Article.” , vol. number, issue no., date published, page range. , DOI or URL.
| |
| Ioannidou, Elena. “Greek in Enclave Communities: Language Maintenance of the Varieties of Cypriot Romeika in Cyprus and Cretan Greek in Cunda, Turkey.” , vol. 26, 2019, pp. 157-186. , www.jstor.org/stable/10.13173/medilangrevi.26.2019.0157.
| |
| Online Journal Article Author’s Last Name…(page number)
| (Online Journal Article’s Last Name page number)
|
| Ioannidou…(164).
| (Ioannidou 164)
|
To see an online journal example in action, check out the EasyBib MLA sample paper, which is discussed at the bottom of this guide. Also, don’t forget about the easy-to-use, EasyBib automatic generator. Stop typing into Google “citation maker MLA” and go to EasyBib.com instead!
| Article Author’s Last Name, First Name. “Title of Article.” , vol. number, issue no., date published, page range.
| |
| Brundan, Katy. “What We Can Learn From the Philologist in Fiction.” , vol. 61, no. 3, summer 2019, pp. 285-310.
| |
| Print Journal Article Author’s Last Name…(page number)
| (Print Journal Article Author’s Last Name page number)
|
| Brundan…(303)
| (Brundan 303)
|
If it’s referencing an APA journal you’re after, click on the link for the informative EasyBib guide on the topic.
If you’re looking for an MLA citation maker to help you build your bibliography, try out the EasyBib MLA generator. Type in a few key pieces of information about your source and watch the magic happen!
| Article Author’s Last Name, First Name. “Title of Magazine Article.” , vol. number, issue no., date published, page range. , website address.
| |
| Natarajan, Regan. “Preparing for Education 4.0.” , vol. 21, no. 1, Jan. 2020, p. 40. , www.ezinemart.com/educationworld/index.php?pagedate=01012020#.
| |
| Online Magazine Article Author’s Last Name…(page number)
| (Online Magazine Article Author’s Last Name page number)
|
| Natarajan…
| (Natarajan)*
|
*In the above example, Natarajan’s article only sits on one page, so it’s unnecessary to include the page number in the reference in the text.
| Article Author’s Last Name, First Name. “Title of Print Magazine Article.” , vol. number, issue no., date published, page range.
| |
| Seymour, Gene. “Henry James and Pigs’ Feet: Ralph Ellison’s Letters Fulfill His Great First Novel’s Promise.” , vol. 26, no. 5, Feb/Mar. 2020, pp. 14-15.
| |
| Print Magazine Article Author’s Last Name…(page number)
| (Print Magazine Article’s Last Name page number)
|
| Seymour…(14)
| (Seymour 14)
|
Print magazines are always fun to read, but know what else is a party? Brushing up on your grammar skills! Check out the thorough EasyBib grammar guides on adverb , determiner , and preposition pages!
| Article Author’s Last Name, First Name. “Title of Online Newspaper Article.” [City]*, date published, section name (if applicable), page range. , URL.
| |
| Berthiaume, Lee. “Backlog of Applications for Vets’ Benefits Grows By The Thousands.” , 11 Feb. 2020, A9. , www-pressreader-com.i.ezproxy.nypl.org/canada/toronto-star/20200211.
| |
| Online Newspaper Article Author’s Last Name…(page number)
| (Online Newspaper Article Author’s Last Name page number)
|
| Berthiaume…
| (Berthiaume)**
|
*You do not need to include the city name in your citation if the city name is in the name of the newspaper or if it is a national or international newspaper.
**Since the above article is only on one page, it’s not necessary to include the page number in the text reference of your MLA style citation.
Need help? Use the EasyBib MLA citation machine, which guides you through the process of making newspaper references! Quit searching on Google for “how to MLA citation” and visit EasyBib.com today!
| Article Author’s Last Name, First Name. “Title of Print Newspaper Article.” [City],* date published, section name (if applicable), page range.
| |
| Larry, Gordon. “Sending Mom and Dad Off to College for the Day.” , 11 Feb. 2020, pp. B1-B2.
| |
| Print Newspaper Article Author’s Last Name…(page number)
| (Print Newspaper Article Author’s Last Name page number)
|
| Gordon…(B1)
| (Gordon B1)
|
If your periodical article falls on nonconsecutive page numbers, add a plus sign after the first page number and omit the additional pages from any full references. Example: pp. B1+ (This information is located on page 193 in the official Handbook ). Don’t forget, the EasyBib citation machine MLA creator can help you structure all your citation information!
| Artist’s Last Name, First Name. “Title of Artwork or Image.” , date published (if available), URL.
| |
| Chapman, Cyrus Tucker. “Miss Jeannette Rankin, of Montana, Speaking from the Balcony of the National American Woman Suffrage Association, Monday, April 2, 1917.” , www.loc.gov/item/mnwp000156/.
| |
| Online Image Artist’s Last Name
| (Online Image Artist’s Last Name)
|
| Chapman…
| (Chapman)
|
If you’re still confused about referencing online images, give the EasyBib MLA format generator a whirl. In just a few clicks, you’ll have well-structured MLA citations!
If you’re looking to reference an image seen in a print book, use the structure below. Or, use the “Cartoon,” “Photo,” “Painting,” or “Map” forms found on the EasyBib MLA generator for citations.
| Artist’s Last Name, First Name. Year created. , additional contributors (if applicable), Publisher, date published, page(s).
| |
| Bentley, William Allen. . 1922. Courier Corporation, 2012, pp. 1-67.
| |
| Artist’s Last Name…(page number)
| (Artist’s Last Name page number)
|
| Bentley…(13)
| (Bentley 13)
|
In need of a citation machine MLA maker to help save some of your precious time? Try EasyBib’s generator. Head to the EasyBib homepage and start developing your references today!
If you viewed an image in real life, whether at a museum, on display in a building, or even on a billboard, this EasyBib MLA citation guide example includes the most common way to reference it.
| Artist’s Last Name, First Name. . Date created, Museum or Building, Location.
| |
| Turner, Joseph Mallord William. . 1833, The Frick Collection, New York.
| |
| Artist’s Last Name….
| (Artist’s Last Name)
|
| Turner….
| (Turner)
|
For the majority of online video references, the reference should start with the title of the video. The information about the account that uploaded the video should be included in the “Other Contributors” space.
| “Title of the Online Video.” , uploaded by Username, date uploaded, URL.
| |
| “Jimmy and Kevin Hart Ride a Roller Coaster.” , uploaded by The Tonight Show Starring Jimmy Fallon, 18 June 2014, www.youtube.com/watch?v=OPdbdjctx2I.
| |
| “Title of Online Video”…(time stamp)
| (“Abbreviated Title of Online Video” time stamp)
|
| “Jimmy and Kevin Hart Ride a Roller Coaster”…(00.02.17)
After the first in-text reference, it’s acceptable to shorten the title when referencing again “Jimmy and Kevin Hart”…(00.03.11)
| (“Jimmy and Kevin Hart” 00.02.17)
The title should always be shortened to the first noun phrase in parenthetical citations when possible.
|
For more on learning how to cite MLA timestamps, turn to page 250 in the official Handbook .
It’s common to see online videos featured in an annotated bibliography . Have a look at the useful guide to learn how to create one from scratch!
Streamed shows (sometimes called online or streamed “television shows”) are watched using a service such as Netflix, Hulu, Disney+, or another subscription streaming site.
| “Title of Episode.” , contributor names (if applicable), season number, episode number, Publisher/Network name, date aired or published. , URL.
| |
| “Chapter 2: The Child.” , season 1, episode 2, Disney Media Distribution, 15 Nov. 2019. , www.disneyplus.com/mandalorian/thechild.
| |
| “Title of Episode”…
| (“Shortened Title of Episode”)
|
| “Chapter 2: The Child”…(00.23.13)
| (“Chapter 2” 00.23.13)
|
If you accessed a streamed show through an app, the name of the app can be displayed at the end of the citation as “[ Name of Service ] app” instead of including the URL.
| “Title of Episode.” , contributor names (if applicable), season number, episode number, Publisher/Network name, date aired or published. app.
|
| “Chapter 2: The Child.” season 1, episode 2, Disney Media Distribution, 15 Nov. 2019. app.
|
After you’re through binging on your favorite shows, give yourself some brain fuel by taking a glance at the EasyBib grammar guides. Take your writing up a notch with the guides on interjection , conjunction , and verb pages!
| Singer’s Last Name, First Name OR Stage Name/Name of Musical Group. “Title of Song.” , edition if applicable, Publisher, year of publication. , web address.*
| |
| Post Malone. “Better Now.” , Republic Records, 2018. , open.spotify.com/track/7dt6x5M1jzdTEt8oCbisTK.
| |
| Singer’s Last Name or Group Name
| (Singer’s Last Name or Group)
|
| Post Malone….
| (Post Malone)
|
*If you accessed a streamed song through an app, the name of the app can be displayed at the end of the citation as “[ Name of Service ] app” instead of including the URL.
Streamed music can be tricky to reference, especially with the wide variety of streaming services available on the web and through apps. Don’t worry, the EasyBib MLA citation maker can come in and save the day for you. Try it out now! To make it even easier, bookmark the EasyBib citation machine MLA maker for quick access!
| Composer’s Last Name, First Name. . Date of original composition.* Publisher, date published. , web address.
| |
| Gershwin, George. . 1924. The Library at www.piano.ru. , musopen.org/music/11222-rhapsody-in-blue/.
| |
| Composer’s Last Name…(measures x-x)
| (Composer’s Last Name measures x-x)
|
| Gershwin…(measures 3-4)
| (Gershwin measures 3-4)
|
*You can include the original composition date as supplemental information between the title and publisher. It may be helpful to include this information if the piece was composed much earlier than the sheet music you are citing or if the arrangement has significantly changed from the original.
Notable individuals consistently share pictures, videos, and ideas on social media, which is why social media is often referenced in today’s research papers . If you’re looking to add a reference for Twitter, Facebook, Reddit, or Instagram in your MLA paper, check out the structures and examples below.
| Last Name, First Name [Username]*. “Full text of tweet.” (If it’s longer than 140 characters, it’s acceptable to only include the first part with three ellipses at the end.) , date posted, URL.
| |
| Eilish, Billie. “Billie’s premiere performance of ‘No Time To Die’ will be at the 2020 #BRITS on 2/18. Billie will be accompanied by @FINNEAS, @HansZimmer, and @Johnny_Marr.” , 13 Feb. 2020, twitter.com/billieeilish/status/1228109605189742592.
| |
| Author Last Name….
| (Author Last Name)
|
| Eilish…
| (Eilish)
|
*When the account name and username are similar, the username can be excluded from the citation. For example, if the account’s username was @FirstNameLastName or @OrganizationName.
If the tweet is composed of just an image or video, create a description for it and do not place it in quotation marks. For example:
DJ Snake. Video of studio controls with music playing. Twitter , 11 Feb. 2020, twitter.com/djsnake/status/1227267455095123968.
Odds are, you could spend hours scrolling through Twitter to catch up on the latest news and gossip. Why not spend some time scrolling through the EasyBib grammar guides instead? Check out these informative noun and adjective guides to help keep your writing in check!
| First Name Last Name or Page Name. “Title of Facebook post” or Description of Facebook post if it lacks text or a title or consists entirely of a photo or video. , date posted, URL.
| |
| Cabello, Camila. Update to fans after social media break. , 4 Feb. 2020, www.facebook.com/camilacabello/posts/2939765322713592.
| |
| Facebook Poster’s Last Name…
| (Facebook Poster’s Last Name)
|
| Cabello…
| (Cabello)
|
Author’s Last Name, First Name [Reddit username if different than their name]. “Text of Reddit headline.” , date posted, URL. | ||
| [u/maupalo]. “How do you feel about professors taking attendance?” , 21 Feb. 2020, www.reddit.com/r/college/comments/f7ay40/ how_do_you_feel_about_professors_taking_attendance/.
| |
| Reddit Poster’s Last Name or Username
| (Reddit Poster’s Last Name or Username)
|
| Reddit user u/maupalo…
| (u/maupalo)
|
| Last Name, First Name [Username if different]. “Text of Instagram caption” or Description if it lacks text and consists of a photo or video without a caption. , other contributors (if applicable), date posted, URL.
| |
| Eilish, Billie. Profile photograph of Billie holding a white microphone with a black background. , 28 Jan. 2020, www.instagram.com/p/B72dN1gFe7k/?utm_source=ig_web_copy_link.
| |
| Last name…
| (Last Name)
|
| Eilish…
| (Eilish)
|
Looking for other types of sources, such as government and archival documents? Here’s more info .
Now that you’ve figured out how to style your references, the next step is structuring your written work according to this style’s guidelines. The thorough EasyBib MLA format guide provides you with the information you need to structure the font, MLA title page (or MLA cover page), paper margins, spacing, plus more! There’s even a sample MLA paper, too!
MLA Handbook . 9th ed., Modern Language Association of America, 2021.
Published April 9, 2020. Updated July 25, 2021.
Written by Michele Kirschenbaum. Michele Kirschenbaum is a school library media specialist and is the in-house librarian at EasyBib.com.
MLA Formatting
How useful was this post?
Click on a star to rate it!
We are sorry that this post was not useful for you!
Let us improve this post!
Tell us how we can improve this post?
It’s 100% free to create MLA citations. The EasyBib Citation Generator also supports 7,000+ other citation styles. These other styles—including APA, Chicago, and Harvard—are accessible for anyone with an EasyBib Plus subscription.
No matter what citation style you’re using (APA, MLA, Chicago, etc.) the EasyBib Citation Generator can help you create the right bibliography quickly.
Yes, there’s an option to download source citations as a Word Doc or a Google Doc. You may also copy citations from the EasyBib Citation Generator and paste them into your paper.
Creating an account is not a requirement for generating MLA citations. However, registering for an EasyBib account is free and an account is how you can save all the citation you create. This can help make it easier to manage your citations and bibliographies.
Yes! Whether you’d like to learn how to construct citations on your own, our Autocite tool isn’t able to gather the metadata you need, or anything in between, manual citations are always an option. Click here for directions on using creating manual citations.
If any important information is missing (e.g., author’s name, title, publishing date, URL, etc.), first see if you can find it in the source yourself. If you cannot, leave the information blank and continue creating your citation.
It supports MLA, APA, Chicago, Harvard, and over 7,000 total citation styles.
An in-text citation is a short citation that is placed next to the text being cited. The basic element needed for an in-text citation is the author’s name . The publication year is not required in in-text citations. Sometimes, page numbers or line numbers are also included, especially when text is quoted from the source being cited. In-text citations are mentioned in the text in two ways: as a citation in prose or a parenthetical citation.
Citations in prose are incorporated into the text and act as a part of the sentence. Usually, citations in prose use the author’s full name when cited the first time in the text. Thereafter, only the surname is used. Avoid including the middle initial even if it is present in the works-cited-list entry. An example of the first citation in prose for one author is given below:
Carol Fitzerald explains the picture of the area.
Parenthetical citations add only the author’s surname at the end of the sentence in parentheses. An example of a parenthetical citation is given below:
The picture of the area is explained (Fitzgerald).
When you quote a specific line from the source, you can include a page number or a line number in in-text citations. Examples of both a citation in prose and a parenthetical citation are given below. Do not add “p.” or “pp.” before the page number(s).
Swan says, “Postglacial viability and colonization in North America is to be studied” (47).
Though some researchers claim that “Postglacial viability and colonization in North America is to be studied” (Swan 47).
In-text citations should be concise. Do not repeat author names in parentheses if the name is mentioned in the text (the citation in prose).
To cite a periodical such as a journal, magazine, or newspaper, in the text, the basic element needed is the author’s name . The publication year is not required for in-text citations. Sometimes, page numbers or line numbers are also included, especially when text is quoted from the source being cited. In-text citations are mentioned in the text in two ways: as a citation in prose or a parenthetical citation. The example below shows how to cite a periodical in the text.
Citations in prose use the author’s full name when citing for the first time. Thereafter, only use the surname. Avoid including the middle initial even if it is present in the works-cited-list entry. An example of a citation in prose for a periodical with one author is below:
First time: Kathy Goldstein explains the picture of the area.
Subsequent occurrences: Goldstein explains the picture of the area.
Parenthetical citations add only the author’s surname at the end of the sentence in parentheses. An example of a parenthetical citation is below:
The picture of the area is explained (Goldstein).
An MLA citation generator is a tool that can help you easily create MLA formatted citations and works cited entries. You can try the EasyBib MLA citation generator at https://www.easybib.com/mla/source .
For some source types, only a single piece of information is needed in order to generate a citation. For example, the ISBN of a book, the DOI of a journal article, or the URL of a website. For other source types, a form will indicate what information is needed for the citation, and then automatically formats the citation.
Writing Tools
Citation Generators
Other Citation Styles
Upload a paper to check for plagiarism against billions of sources and get advanced writing suggestions for clarity and style.
Get Started
Peer Reviewed
Article metrics.
CrossRef Citations
Altmetric Score
PDF Downloads
Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research. Our analysis of a selection of questionable GPT-fabricated scientific papers found in Google Scholar shows that many are about applied, often controversial topics susceptible to disinformation: the environment, health, and computing. The resulting enhanced potential for malicious manipulation of society’s evidence base, particularly in politically divisive domains, is a growing concern.
Swedish School of Library and Information Science, University of Borås, Sweden
Department of Arts and Cultural Sciences, Lund University, Sweden
Division of Environmental Communication, Swedish University of Agricultural Sciences, Sweden
The use of ChatGPT to generate text for academic papers has raised concerns about research integrity. Discussion of this phenomenon is ongoing in editorials, commentaries, opinion pieces, and on social media (Bom, 2023; Stokel-Walker, 2024; Thorp, 2023). There are now several lists of papers suspected of GPT misuse, and new papers are constantly being added. 1 See for example Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . While many legitimate uses of GPT for research and academic writing exist (Huang & Tan, 2023; Kitamura, 2023; Lund et al., 2023), its undeclared use—beyond proofreading—has potentially far-reaching implications for both science and society, but especially for their relationship. It, therefore, seems important to extend the discussion to one of the most accessible and well-known intermediaries between science, but also certain types of misinformation, and the public, namely Google Scholar, also in response to the legitimate concerns that the discussion of generative AI and misinformation needs to be more nuanced and empirically substantiated (Simon et al., 2023).
Google Scholar, https://scholar.google.com , is an easy-to-use academic search engine. It is available for free, and its index is extensive (Gusenbauer & Haddaway, 2020). It is also often touted as a credible source for academic literature and even recommended in library guides, by media and information literacy initiatives, and fact checkers (Tripodi et al., 2023). However, Google Scholar lacks the transparency and adherence to standards that usually characterize citation databases. Instead, Google Scholar uses automated crawlers, like Google’s web search engine (Martín-Martín et al., 2021), and the inclusion criteria are based on primarily technical standards, allowing any individual author—with or without scientific affiliation—to upload papers to be indexed (Google Scholar Help, n.d.). It has been shown that Google Scholar is susceptible to manipulation through citation exploits (Antkare, 2020) and by providing access to fake scientific papers (Dadkhah et al., 2017). A large part of Google Scholar’s index consists of publications from established scientific journals or other forms of quality-controlled, scholarly literature. However, the index also contains a large amount of gray literature, including student papers, working papers, reports, preprint servers, and academic networking sites, as well as material from so-called “questionable” academic journals, including paper mills. The search interface does not offer the possibility to filter the results meaningfully by material type, publication status, or form of quality control, such as limiting the search to peer-reviewed material.
To understand the occurrence of ChatGPT (co-)authored work in Google Scholar’s index, we scraped it for publications, including one of two common ChatGPT responses (see Appendix A) that we encountered on social media and in media reports (DeGeurin, 2024). The results of our descriptive statistical analyses showed that around 62% did not declare the use of GPTs. Most of these GPT-fabricated papers were found in non-indexed journals and working papers, but some cases included research published in mainstream scientific journals and conference proceedings. 2 Indexed journals mean scholarly journals indexed by abstract and citation databases such as Scopus and Web of Science, where the indexation implies journals with high scientific quality. Non-indexed journals are journals that fall outside of this indexation. More than half (57%) of these GPT-fabricated papers concerned policy-relevant subject areas susceptible to influence operations. To avoid increasing the visibility of these publications, we abstained from referencing them in this research note. However, we have made the data available in the Harvard Dataverse repository.
The publications were related to three issue areas—health (14.5%), environment (19.5%) and computing (23%)—with key terms such “healthcare,” “COVID-19,” or “infection”for health-related papers, and “analysis,” “sustainable,” and “global” for environment-related papers. In several cases, the papers had titles that strung together general keywords and buzzwords, thus alluding to very broad and current research. These terms included “biology,” “telehealth,” “climate policy,” “diversity,” and “disrupting,” to name just a few. While the study’s scope and design did not include a detailed analysis of which parts of the articles included fabricated text, our dataset did contain the surrounding sentences for each occurrence of the suspicious phrases that formed the basis for our search and subsequent selection. Based on that, we can say that the phrases occurred in most sections typically found in scientific publications, including the literature review, methods, conceptual and theoretical frameworks, background, motivation or societal relevance, and even discussion. This was confirmed during the joint coding, where we read and discussed all articles. It became clear that not just the text related to the telltale phrases was created by GPT, but that almost all articles in our sample of questionable articles likely contained traces of GPT-fabricated text everywhere.
Evidence hacking and backfiring effects
Generative pre-trained transformers (GPTs) can be used to produce texts that mimic scientific writing. These texts, when made available online—as we demonstrate—leak into the databases of academic search engines and other parts of the research infrastructure for scholarly communication. This development exacerbates problems that were already present with less sophisticated text generators (Antkare, 2020; Cabanac & Labbé, 2021). Yet, the public release of ChatGPT in 2022, together with the way Google Scholar works, has increased the likelihood of lay people (e.g., media, politicians, patients, students) coming across questionable (or even entirely GPT-fabricated) papers and other problematic research findings. Previous research has emphasized that the ability to determine the value and status of scientific publications for lay people is at stake when misleading articles are passed off as reputable (Haider & Åström, 2017) and that systematic literature reviews risk being compromised (Dadkhah et al., 2017). It has also been highlighted that Google Scholar, in particular, can be and has been exploited for manipulating the evidence base for politically charged issues and to fuel conspiracy narratives (Tripodi et al., 2023). Both concerns are likely to be magnified in the future, increasing the risk of what we suggest calling evidence hacking —the strategic and coordinated malicious manipulation of society’s evidence base.
The authority of quality-controlled research as evidence to support legislation, policy, politics, and other forms of decision-making is undermined by the presence of undeclared GPT-fabricated content in publications professing to be scientific. Due to the large number of archives, repositories, mirror sites, and shadow libraries to which they spread, there is a clear risk that GPT-fabricated, questionable papers will reach audiences even after a possible retraction. There are considerable technical difficulties involved in identifying and tracing computer-fabricated papers (Cabanac & Labbé, 2021; Dadkhah et al., 2023; Jones, 2024), not to mention preventing and curbing their spread and uptake.
However, as the rise of the so-called anti-vaxx movement during the COVID-19 pandemic and the ongoing obstruction and denial of climate change show, retracting erroneous publications often fuels conspiracies and increases the following of these movements rather than stopping them. To illustrate this mechanism, climate deniers frequently question established scientific consensus by pointing to other, supposedly scientific, studies that support their claims. Usually, these are poorly executed, not peer-reviewed, based on obsolete data, or even fraudulent (Dunlap & Brulle, 2020). A similar strategy is successful in the alternative epistemic world of the global anti-vaccination movement (Carrion, 2018) and the persistence of flawed and questionable publications in the scientific record already poses significant problems for health research, policy, and lawmakers, and thus for society as a whole (Littell et al., 2024). Considering that a person’s support for “doing your own research” is associated with increased mistrust in scientific institutions (Chinn & Hasell, 2023), it will be of utmost importance to anticipate and consider such backfiring effects already when designing a technical solution, when suggesting industry or legal regulation, and in the planning of educational measures.
Recommendations
Solutions should be based on simultaneous considerations of technical, educational, and regulatory approaches, as well as incentives, including social ones, across the entire research infrastructure. Paying attention to how these approaches and incentives relate to each other can help identify points and mechanisms for disruption. Recognizing fraudulent academic papers must happen alongside understanding how they reach their audiences and what reasons there might be for some of these papers successfully “sticking around.” A possible way to mitigate some of the risks associated with GPT-fabricated scholarly texts finding their way into academic search engine results would be to provide filtering options for facets such as indexed journals, gray literature, peer-review, and similar on the interface of publicly available academic search engines. Furthermore, evaluation tools for indexed journals 3 Such as LiU Journal CheckUp, https://ep.liu.se/JournalCheckup/default.aspx?lang=eng . could be integrated into the graphical user interfaces and the crawlers of these academic search engines. To enable accountability, it is important that the index (database) of such a search engine is populated according to criteria that are transparent, open to scrutiny, and appropriate to the workings of science and other forms of academic research. Moreover, considering that Google Scholar has no real competitor, there is a strong case for establishing a freely accessible, non-specialized academic search engine that is not run for commercial reasons but for reasons of public interest. Such measures, together with educational initiatives aimed particularly at policymakers, science communicators, journalists, and other media workers, will be crucial to reducing the possibilities for and effects of malicious manipulation or evidence hacking. It is important not to present this as a technical problem that exists only because of AI text generators but to relate it to the wider concerns in which it is embedded. These range from a largely dysfunctional scholarly publishing system (Haider & Åström, 2017) and academia’s “publish or perish” paradigm to Google’s near-monopoly and ideological battles over the control of information and ultimately knowledge. Any intervention is likely to have systemic effects; these effects need to be considered and assessed in advance and, ideally, followed up on.
Our study focused on a selection of papers that were easily recognizable as fraudulent. We used this relatively small sample as a magnifying glass to examine, delineate, and understand a problem that goes beyond the scope of the sample itself, which however points towards larger concerns that require further investigation. The work of ongoing whistleblowing initiatives 4 Such as Academ-AI, https://www.academ-ai.info/ , and Retraction Watch, https://retractionwatch.com/papers-and-peer-reviews-with-evidence-of-chatgpt-writing/ . , recent media reports of journal closures (Subbaraman, 2024), or GPT-related changes in word use and writing style (Cabanac et al., 2021; Stokel-Walker, 2024) suggest that we only see the tip of the iceberg. There are already more sophisticated cases (Dadkhah et al., 2023) as well as cases involving fabricated images (Gu et al., 2022). Our analysis shows that questionable and potentially manipulative GPT-fabricated papers permeate the research infrastructure and are likely to become a widespread phenomenon. Our findings underline that the risk of fake scientific papers being used to maliciously manipulate evidence (see Dadkhah et al., 2017) must be taken seriously. Manipulation may involve undeclared automatic summaries of texts, inclusion in literature reviews, explicit scientific claims, or the concealment of errors in studies so that they are difficult to detect in peer review. However, the mere possibility of these things happening is a significant risk in its own right that can be strategically exploited and will have ramifications for trust in and perception of science. Society’s methods of evaluating sources and the foundations of media and information literacy are under threat and public trust in science is at risk of further erosion, with far-reaching consequences for society in dealing with information disorders. To address this multifaceted problem, we first need to understand why it exists and proliferates.
Finding 1: 139 GPT-fabricated, questionable papers were found and listed as regular results on the Google Scholar results page. Non-indexed journals dominate.
Most questionable papers we found were in non-indexed journals or were working papers, but we did also find some in established journals, publications, conferences, and repositories. We found a total of 139 papers with a suspected deceptive use of ChatGPT or similar LLM applications (see Table 1). Out of these, 19 were in indexed journals, 89 were in non-indexed journals, 19 were student papers found in university databases, and 12 were working papers (mostly in preprint databases). Table 1 divides these papers into categories. Health and environment papers made up around 34% (47) of the sample. Of these, 66% were present in non-indexed journals.
Indexed journals* | 5 | 3 | 4 | 7 | 19 |
Non-indexed journals | 18 | 18 | 13 | 40 | 89 |
Student papers | 4 | 3 | 1 | 11 | 19 |
Working papers | 5 | 3 | 2 | 2 | 12 |
Total | 32 | 27 | 20 | 60 | 139 |
Finding 2: GPT-fabricated, questionable papers are disseminated online, permeating the research infrastructure for scholarly communication, often in multiple copies. Applied topics with practical implications dominate.
The 20 papers concerning health-related issues are distributed across 20 unique domains, accounting for 46 URLs. The 27 papers dealing with environmental issues can be found across 26 unique domains, accounting for 56 URLs. Most of the identified papers exist in multiple copies and have already spread to several archives, repositories, and social media. It would be difficult, or impossible, to remove them from the scientific record.
As apparent from Table 2, GPT-fabricated, questionable papers are seeping into most parts of the online research infrastructure for scholarly communication. Platforms on which identified papers have appeared include ResearchGate, ORCiD, Journal of Population Therapeutics and Clinical Pharmacology (JPTCP), Easychair, Frontiers, the Institute of Electrical and Electronics Engineer (IEEE), and X/Twitter. Thus, even if they are retracted from their original source, it will prove very difficult to track, remove, or even just mark them up on other platforms. Moreover, unless regulated, Google Scholar will enable their continued and most likely unlabeled discoverability.
Environment | researchgate.net (13) | orcid.org (4) | easychair.org (3) | ijope.com* (3) | publikasiindonesia.id (3) |
Health | researchgate.net (15) | ieee.org (4) | twitter.com (3) | jptcp.com** (2) | frontiersin.org (2) |
A word rain visualization (Centre for Digital Humanities Uppsala, 2023), which combines word prominences through TF-IDF 5 Term frequency–inverse document frequency , a method for measuring the significance of a word in a document compared to its frequency across all documents in a collection. scores with semantic similarity of the full texts of our sample of GPT-generated articles that fall into the “Environment” and “Health” categories, reflects the two categories in question. However, as can be seen in Figure 1, it also reveals overlap and sub-areas. The y-axis shows word prominences through word positions and font sizes, while the x-axis indicates semantic similarity. In addition to a certain amount of overlap, this reveals sub-areas, which are best described as two distinct events within the word rain. The event on the left bundles terms related to the development and management of health and healthcare with “challenges,” “impact,” and “potential of artificial intelligence”emerging as semantically related terms. Terms related to research infrastructures, environmental, epistemic, and technological concepts are arranged further down in the same event (e.g., “system,” “climate,” “understanding,” “knowledge,” “learning,” “education,” “sustainable”). A second distinct event further to the right bundles terms associated with fish farming and aquatic medicinal plants, highlighting the presence of an aquaculture cluster. Here, the prominence of groups of terms such as “used,” “model,” “-based,” and “traditional” suggests the presence of applied research on these topics. The two events making up the word rain visualization, are linked by a less dominant but overlapping cluster of terms related to “energy” and “water.”
The bar chart of the terms in the paper subset (see Figure 2) complements the word rain visualization by depicting the most prominent terms in the full texts along the y-axis. Here, word prominences across health and environment papers are arranged descendingly, where values outside parentheses are TF-IDF values (relative frequencies) and values inside parentheses are raw term frequencies (absolute frequencies).
Finding 3: Google Scholar presents results from quality-controlled and non-controlled citation databases on the same interface, providing unfiltered access to GPT-fabricated questionable papers.
Google Scholar’s central position in the publicly accessible scholarly communication infrastructure, as well as its lack of standards, transparency, and accountability in terms of inclusion criteria, has potentially serious implications for public trust in science. This is likely to exacerbate the already-known potential to exploit Google Scholar for evidence hacking (Tripodi et al., 2023) and will have implications for any attempts to retract or remove fraudulent papers from their original publication venues. Any solution must consider the entirety of the research infrastructure for scholarly communication and the interplay of different actors, interests, and incentives.
We searched and scraped Google Scholar using the Python library Scholarly (Cholewiak et al., 2023) for papers that included specific phrases known to be common responses from ChatGPT and similar applications with the same underlying model (GPT3.5 or GPT4): “as of my last knowledge update” and/or “I don’t have access to real-time data” (see Appendix A). This facilitated the identification of papers that likely used generative AI to produce text, resulting in 227 retrieved papers. The papers’ bibliographic information was automatically added to a spreadsheet and downloaded into Zotero. 6 An open-source reference manager, https://zotero.org .
We employed multiple coding (Barbour, 2001) to classify the papers based on their content. First, we jointly assessed whether the paper was suspected of fraudulent use of ChatGPT (or similar) based on how the text was integrated into the papers and whether the paper was presented as original research output or the AI tool’s role was acknowledged. Second, in analyzing the content of the papers, we continued the multiple coding by classifying the fraudulent papers into four categories identified during an initial round of analysis—health, environment, computing, and others—and then determining which subjects were most affected by this issue (see Table 1). Out of the 227 retrieved papers, 88 papers were written with legitimate and/or declared use of GPTs (i.e., false positives, which were excluded from further analysis), and 139 papers were written with undeclared and/or fraudulent use (i.e., true positives, which were included in further analysis). The multiple coding was conducted jointly by all authors of the present article, who collaboratively coded and cross-checked each other’s interpretation of the data simultaneously in a shared spreadsheet file. This was done to single out coding discrepancies and settle coding disagreements, which in turn ensured methodological thoroughness and analytical consensus (see Barbour, 2001). Redoing the category coding later based on our established coding schedule, we achieved an intercoder reliability (Cohen’s kappa) of 0.806 after eradicating obvious differences.
The ranking algorithm of Google Scholar prioritizes highly cited and older publications (Martín-Martín et al., 2016). Therefore, the position of the articles on the search engine results pages was not particularly informative, considering the relatively small number of results in combination with the recency of the publications. Only the query “as of my last knowledge update” had more than two search engine result pages. On those, questionable articles with undeclared use of GPTs were evenly distributed across all result pages (min: 4, max: 9, mode: 8), with the proportion of undeclared use being slightly higher on average on later search result pages.
To understand how the papers making fraudulent use of generative AI were disseminated online, we programmatically searched for the paper titles (with exact string matching) in Google Search from our local IP address (see Appendix B) using the googlesearch – python library(Vikramaditya, 2020). We manually verified each search result to filter out false positives—results that were not related to the paper—and then compiled the most prominent URLs by field. This enabled the identification of other platforms through which the papers had been spread. We did not, however, investigate whether copies had spread into SciHub or other shadow libraries, or if they were referenced in Wikipedia.
We used descriptive statistics to count the prevalence of the number of GPT-fabricated papers across topics and venues and top domains by subject. The pandas software library for the Python programming language (The pandas development team, 2024) was used for this part of the analysis. Based on the multiple coding, paper occurrences were counted in relation to their categories, divided into indexed journals, non-indexed journals, student papers, and working papers. The schemes, subdomains, and subdirectories of the URL strings were filtered out while top-level domains and second-level domains were kept, which led to normalizing domain names. This, in turn, allowed the counting of domain frequencies in the environment and health categories. To distinguish word prominences and meanings in the environment and health-related GPT-fabricated questionable papers, a semantically-aware word cloud visualization was produced through the use of a word rain (Centre for Digital Humanities Uppsala, 2023) for full-text versions of the papers. Font size and y-axis positions indicate word prominences through TF-IDF scores for the environment and health papers (also visualized in a separate bar chart with raw term frequencies in parentheses), and words are positioned along the x-axis to reflect semantic similarity (Skeppstedt et al., 2024), with an English Word2vec skip gram model space (Fares et al., 2017). An English stop word list was used, along with a manually produced list including terms such as “https,” “volume,” or “years.”
Haider, J., Söderström, K. R., Ekström, B., & Rödl, M. (2024). GPT-fabricated scientific papers on Google Scholar: Key features, spread, and implications for preempting evidence manipulation. Harvard Kennedy School (HKS) Misinformation Review . https://doi.org/10.37016/mr-2020-156
Antkare, I. (2020). Ike Antkare, his publications, and those of his disciples. In M. Biagioli & A. Lippman (Eds.), Gaming the metrics (pp. 177–200). The MIT Press. https://doi.org/10.7551/mitpress/11087.003.0018
Barbour, R. S. (2001). Checklists for improving rigour in qualitative research: A case of the tail wagging the dog? BMJ , 322 (7294), 1115–1117. https://doi.org/10.1136/bmj.322.7294.1115
Bom, H.-S. H. (2023). Exploring the opportunities and challenges of ChatGPT in academic writing: A roundtable discussion. Nuclear Medicine and Molecular Imaging , 57 (4), 165–167. https://doi.org/10.1007/s13139-023-00809-2
Cabanac, G., & Labbé, C. (2021). Prevalence of nonsensical algorithmically generated papers in the scientific literature. Journal of the Association for Information Science and Technology , 72 (12), 1461–1476. https://doi.org/10.1002/asi.24495
Cabanac, G., Labbé, C., & Magazinov, A. (2021). Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals . arXiv. https://doi.org/10.48550/arXiv.2107.06751
Carrion, M. L. (2018). “You need to do your research”: Vaccines, contestable science, and maternal epistemology. Public Understanding of Science , 27 (3), 310–324. https://doi.org/10.1177/0963662517728024
Centre for Digital Humanities Uppsala (2023). CDHUppsala/word-rain [Computer software]. https://github.com/CDHUppsala/word-rain
Chinn, S., & Hasell, A. (2023). Support for “doing your own research” is associated with COVID-19 misperceptions and scientific mistrust. Harvard Kennedy School (HSK) Misinformation Review, 4 (3). https://doi.org/10.37016/mr-2020-117
Cholewiak, S. A., Ipeirotis, P., Silva, V., & Kannawadi, A. (2023). SCHOLARLY: Simple access to Google Scholar authors and citation using Python (1.5.0) [Computer software]. https://doi.org/10.5281/zenodo.5764801
Dadkhah, M., Lagzian, M., & Borchardt, G. (2017). Questionable papers in citation databases as an issue for literature review. Journal of Cell Communication and Signaling , 11 (2), 181–185. https://doi.org/10.1007/s12079-016-0370-6
Dadkhah, M., Oermann, M. H., Hegedüs, M., Raman, R., & Dávid, L. D. (2023). Detection of fake papers in the era of artificial intelligence. Diagnosis , 10 (4), 390–397. https://doi.org/10.1515/dx-2023-0090
DeGeurin, M. (2024, March 19). AI-generated nonsense is leaking into scientific journals. Popular Science. https://www.popsci.com/technology/ai-generated-text-scientific-journals/
Dunlap, R. E., & Brulle, R. J. (2020). Sources and amplifiers of climate change denial. In D.C. Holmes & L. M. Richardson (Eds.), Research handbook on communicating climate change (pp. 49–61). Edward Elgar Publishing. https://doi.org/10.4337/9781789900408.00013
Fares, M., Kutuzov, A., Oepen, S., & Velldal, E. (2017). Word vectors, reuse, and replicability: Towards a community repository of large-text resources. In J. Tiedemann & N. Tahmasebi (Eds.), Proceedings of the 21st Nordic Conference on Computational Linguistics (pp. 271–276). Association for Computational Linguistics. https://aclanthology.org/W17-0237
Google Scholar Help. (n.d.). Inclusion guidelines for webmasters . https://scholar.google.com/intl/en/scholar/inclusion.html
Gu, J., Wang, X., Li, C., Zhao, J., Fu, W., Liang, G., & Qiu, J. (2022). AI-enabled image fraud in scientific publications. Patterns , 3 (7), 100511. https://doi.org/10.1016/j.patter.2022.100511
Gusenbauer, M., & Haddaway, N. R. (2020). Which academic search systems are suitable for systematic reviews or meta-analyses? Evaluating retrieval qualities of Google Scholar, PubMed, and 26 other resources. Research Synthesis Methods , 11 (2), 181–217. https://doi.org/10.1002/jrsm.1378
Haider, J., & Åström, F. (2017). Dimensions of trust in scholarly communication: Problematizing peer review in the aftermath of John Bohannon’s “Sting” in science. Journal of the Association for Information Science and Technology , 68 (2), 450–467. https://doi.org/10.1002/asi.23669
Huang, J., & Tan, M. (2023). The role of ChatGPT in scientific communication: Writing better scientific review articles. American Journal of Cancer Research , 13 (4), 1148–1154. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10164801/
Jones, N. (2024). How journals are fighting back against a wave of questionable images. Nature , 626 (8000), 697–698. https://doi.org/10.1038/d41586-024-00372-6
Kitamura, F. C. (2023). ChatGPT is shaping the future of medical writing but still requires human judgment. Radiology , 307 (2), e230171. https://doi.org/10.1148/radiol.230171
Littell, J. H., Abel, K. M., Biggs, M. A., Blum, R. W., Foster, D. G., Haddad, L. B., Major, B., Munk-Olsen, T., Polis, C. B., Robinson, G. E., Rocca, C. H., Russo, N. F., Steinberg, J. R., Stewart, D. E., Stotland, N. L., Upadhyay, U. D., & Ditzhuijzen, J. van. (2024). Correcting the scientific record on abortion and mental health outcomes. BMJ , 384 , e076518. https://doi.org/10.1136/bmj-2023-076518
Lund, B. D., Wang, T., Mannuru, N. R., Nie, B., Shimray, S., & Wang, Z. (2023). ChatGPT and a new academic reality: Artificial Intelligence-written research papers and the ethics of the large language models in scholarly publishing. Journal of the Association for Information Science and Technology, 74 (5), 570–581. https://doi.org/10.1002/asi.24750
Martín-Martín, A., Orduna-Malea, E., Ayllón, J. M., & Delgado López-Cózar, E. (2016). Back to the past: On the shoulders of an academic search engine giant. Scientometrics , 107 , 1477–1487. https://doi.org/10.1007/s11192-016-1917-2
Martín-Martín, A., Thelwall, M., Orduna-Malea, E., & Delgado López-Cózar, E. (2021). Google Scholar, Microsoft Academic, Scopus, Dimensions, Web of Science, and OpenCitations’ COCI: A multidisciplinary comparison of coverage via citations. Scientometrics , 126 (1), 871–906. https://doi.org/10.1007/s11192-020-03690-4
Simon, F. M., Altay, S., & Mercier, H. (2023). Misinformation reloaded? Fears about the impact of generative AI on misinformation are overblown. Harvard Kennedy School (HKS) Misinformation Review, 4 (5). https://doi.org/10.37016/mr-2020-127
Skeppstedt, M., Ahltorp, M., Kucher, K., & Lindström, M. (2024). From word clouds to Word Rain: Revisiting the classic word cloud to visualize climate change texts. Information Visualization , 23 (3), 217–238. https://doi.org/10.1177/14738716241236188
Swedish Research Council. (2017). Good research practice. Vetenskapsrådet.
Stokel-Walker, C. (2024, May 1.). AI Chatbots Have Thoroughly Infiltrated Scientific Publishing . Scientific American. https://www.scientificamerican.com/article/chatbots-have-thoroughly-infiltrated-scientific-publishing/
Subbaraman, N. (2024, May 14). Flood of fake science forces multiple journal closures: Wiley to shutter 19 more journals, some tainted by fraud. The Wall Street Journal . https://www.wsj.com/science/academic-studies-research-paper-mills-journals-publishing-f5a3d4bc
The pandas development team. (2024). pandas-dev/pandas: Pandas (v2.2.2) [Computer software]. Zenodo. https://doi.org/10.5281/zenodo.10957263
Thorp, H. H. (2023). ChatGPT is fun, but not an author. Science , 379 (6630), 313–313. https://doi.org/10.1126/science.adg7879
Tripodi, F. B., Garcia, L. C., & Marwick, A. E. (2023). ‘Do your own research’: Affordance activation and disinformation spread. Information, Communication & Society , 27 (6), 1212–1228. https://doi.org/10.1080/1369118X.2023.2245869
Vikramaditya, N. (2020). Nv7-GitHub/googlesearch [Computer software]. https://github.com/Nv7-GitHub/googlesearch
This research has been supported by Mistra, the Swedish Foundation for Strategic Environmental Research, through the research program Mistra Environmental Communication (Haider, Ekström, Rödl) and the Marcus and Amalia Wallenberg Foundation [2020.0004] (Söderström).
The authors declare no competing interests.
The research described in this article was carried out under Swedish legislation. According to the relevant EU and Swedish legislation (2003:460) on the ethical review of research involving humans (“Ethical Review Act”), the research reported on here is not subject to authorization by the Swedish Ethical Review Authority (“etikprövningsmyndigheten”) (SRC, 2017).
This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided that the original author and source are properly credited.
All data needed to replicate this study are available at the Harvard Dataverse: https://doi.org/10.7910/DVN/WUVD8X
The authors wish to thank two anonymous reviewers for their valuable comments on the article manuscript as well as the editorial group of Harvard Kennedy School (HKS) Misinformation Review for their thoughtful feedback and input.
Scribbr Citation Generator
Accurate APA, MLA, Chicago, and Harvard citations, verified by experts, trusted by millions
Cite any page or article with a single click right from your browser. The extension does the hard work for you by automatically grabbing the title, author(s), publication date, and everything else needed to whip up the perfect citation.
⚙️ Styles | APA, MLA, Chicago, Harvard |
---|---|
📚 Source types | Websites, books, articles |
🔎 Autocite | Search by title, URL, DOI, or ISBN |
Inaccurate citations can cost you points on your assignments, so our seasoned citation experts have invested countless hours in perfecting Scribbr’s citation generator algorithms. We’re proud to be recommended by teachers and universities worldwide.
Staying focused is already difficult enough, so unlike other citation generators, Scribbr won’t slow you down with flashing banner ads and video pop-ups. That’s a promise!
Look up your source by its title, URL, ISBN, or DOI, and let Scribbr find and fill in all the relevant information automatically.
Generate flawless citations according to the official APA, MLA, Chicago, Harvard style, or many other rules.
When your reference list is complete, export it to Word. We’ll apply the official formatting guidelines automatically.
Create separate reference lists for each of your assignments to stay organized. You can also group related lists into folders.
Are you using a LaTex editor like Overleaf? If so, you can easily export your references in Bib(La)TeX format with a single click.
Change the typeface used for your reference list to match the rest of your document. Options include Times New Roman, Arial, and Calibri.
Scribbr’s Citation Generator is built using the same citation software (CSL) as Mendeley and Zotero, but with an added layer for improved accuracy.
Describe or evaluate your sources in annotations, and Scribbr will generate a perfectly formatted annotated bibliography .
Scribbr’s popular guides and videos will help you understand everything related to finding, evaluating, and citing sources.
Your work is saved automatically after every change and stored securely in your Scribbr account.
Tools and resources, a quick guide to working with sources.
Working with sources is an important skill that you’ll need throughout your academic career.
It includes knowing how to find relevant sources, assessing their authority and credibility, and understanding how to integrate sources into your work with proper referencing.
This quick guide will help you get started!
Sources commonly used in academic writing include academic journals, scholarly books, websites, newspapers, and encyclopedias. There are three main places to look for such sources:
When using academic databases or search engines, you can use Boolean operators to refine your results.
Get started
In academic writing, your sources should be credible, up to date, and relevant to your research topic. Useful approaches to evaluating sources include the CRAAP test and lateral reading.
CRAAP is an abbreviation that reminds you of a set of questions to ask yourself when evaluating information.
Lateral reading means comparing your source to other sources. This allows you to:
If a source is using methods or drawing conclusions that are incompatible with other research in its field, it may not be reliable.
Once you have found information that you want to include in your paper, signal phrases can help you to introduce it. Here are a few examples:
Function | Example sentence | Signal words and phrases |
---|---|---|
You present the author’s position neutrally, without any special emphasis. | recent research, food services are responsible for one-third of anthropogenic greenhouse gas emissions. | According to, analyzes, asks, describes, discusses, explains, in the words of, notes, observes, points out, reports, writes |
A position is taken in agreement with what came before. | Recent research Einstein’s theory of general relativity by observing light from behind a black hole. | Agrees, confirms, endorses, reinforces, promotes, supports |
A position is taken for or against something, with the implication that the debate is ongoing. | Allen Ginsberg artistic revision … | Argues, contends, denies, insists, maintains |
Following the signal phrase, you can choose to quote, paraphrase or summarize the source.
Whenever you quote, paraphrase, or summarize a source, you must include a citation crediting the original author.
Citing your sources is important because it:
The most common citation styles are APA, MLA, and Chicago style. Each citation style has specific rules for formatting citations.
Scribbr offers tons of tools and resources to make working with sources easier and faster. Take a look at our top picks:
COMMENTS
MLA In-text Citations and Sample Essay 9th Edition
In-text citations point the reader to the sources' information on the references page. The in-text citation typically includes the author's last name and the year of publication. If you use a direct quote, the page number is also provided. More information can be found on p. 253 of the 7th edition of the Publication Manual of the American ...
The Basics of In-Text Citation | APA & MLA Examples
MLA In-Text Citations: The Basics - Purdue OWL
How to Cite an Essay in MLA
How to Write an Academic Essay with References and ...
How to Cite Sources | Citation Generator & Quick Guide
APA Formatting and Citation (7th Ed.) - Scribbr
Chicago citation examples: Book. Citing a book in Chicago uses the author's name, book title, place of publication, publisher, and year of publication. You also include the edition, but only if it's relevant. The author's name is inverted, and the title uses title capitalization. Last Name, First Name.
In-Text Citations: The Basics - Purdue OWL
MLA Sample Paper
How to Cite Sources | Citation Examples for APA, MLA & ...
To cite more than one source when you are paraphrasing, separate the in-text citations with a semi-colon. Format: (Author's Last Name Page Number; Author's Last Name Page Number). Examples: (Smith 42; Bennett 71). (It Takes Two; Brock 43). Note: In MLA style, the sources within the in-text citation do not need to be in alphabetical order.
Reference examples - APA Style
Your Reference list will contain the article you read, by Linhares and Brum. Your Reference list will NOT contain a citation for Klein's article. In-text citation. Klein's study (as cited in Linhares & Brum, 2007) found that... Your in-text citation gives credit to Klein and shows the source in which you found Klein's ideas.
Student's Guide to MLA Style (2021) | Citation & Format
APA Citation Examples & Citation Generator
The following examples synthesize multiple sources to support conclusions. Example one uses APA in-text citations, as you might do in a formal report. ... One tattoo artist quoted in the New York Times called them "job stoppers" (as cited in Kurutz, 2018), and they remain quite rare. Altogether, "face, neck and hand tattoos are estimated ...
If the source has no author, your in-text citation will use the title of the source that starts your works cited entry. The title may appear in the sentence itself or, abbreviated, before the page number in parenthesis. Example 1: ("Noon" 508). Example 2: (Faulkner's Novels 25). Example 3: ("Climate Model Simulations").
MLA Works Cited: Electronic Sources (Web Publications) The MLA Handbook highlights principles over prescriptive practices. Essentially, a writer will need to take note of primary elements in every source, such as author, title, etc. and then assort them in a general format. Thus, by using this methodology, a writer will be able to cite any ...
Citation Examples | Books, Articles, Websites & More
Scroll back up to the generator at the top of the page and select the type of source you're citing. Books, journal articles, and webpages are all examples of the types of sources our generator can cite automatically. Then either search for the source, or enter the details manually in the citation form. The generator will produce a formatted MLA ...
The publication year is not required for in-text citations. Sometimes, page numbers or line numbers are also included, especially when text is quoted from the source being cited. In-text citations are mentioned in the text in two ways: as a citation in prose or a parenthetical citation. The example below shows how to cite a periodical in the text.
Academic journals, archives, and repositories are seeing an increasing number of questionable research papers clearly produced using generative AI. They are often created with widely available, general-purpose AI applications, most likely ChatGPT, and mimic scientific writing. Google Scholar easily locates and lists these questionable papers alongside reputable, quality-controlled research.
Free Citation Generator | APA, MLA, Chicago