Iffy.news in the news

Research papers, tools, and guides that use Iffy resources.

Research papers

1. From the CDC to emerging infectious disease publics: The long-now of polarizing and complex health crises (2025-03)
2. Evaluation of Reliability Criteria for News Publishers with Large Language Models (2024-12)
3. Targeting Audiences’ Moral Values Shapes Misinformation Sharing (2024-12)
4. Human activity shapes infectious disease dynamics: social division, misinformation, and climate change (2024-11)
5. CimpleKG: A Continuously Updated Knowledge Graph on Misinformation, Factors and Fact-Checks (2023-11)
6. Analysing Impact Dynamics of Misinformation Spread on X (formerly Twitter) with a COVID-19 Dataset (2024-10)
7. Language-Agnostic Modeling of Source Reliability on Wikipedia (2024-10)
8. An Investigation into Protestware (2024-09)
9. Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models (2024-08)
10. Artificial Intelligence Fact-checking Technology and the Sociotechnical Definition of ‘Factuality’ (2024-08)
11. Identifying and characterizing superspreaders of low-credibility content on Twitter (2024-05)
12. Analysis and Detection of “Pink Slime” Websites in Social Media Posts (2024-05)
13. Analysis and Detection of “Pink Slime” Websites in Social Media Posts (2024-05)
14. Time-Dynamics of (Mis)Information Spread on Social Networks: A COVID-19 Case Study (2024-02)
15. Perceived experts are prevalent and influential within an antivaccine community on Twitter (2024-02)
16. Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites (2024-01)
17. Facebook Post Credibility as a Predictor of Vaccine Hesitancy in the US (2024-01)
18. Low credibility URL sharing on Twitter during reporting linking rare blood clots with the Oxford/AstraZeneca COVID-19 vaccine (2024-01)
19. Analyzing the Spread of Misinformation on Social Networks: A Process and Software Architecture for Detection and Analysis (2023-11)
20. Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure (2023-11)
21. Quantifying the Impact of Misinformation and Vaccine-Skeptical Content on Facebook (2023-10 preprint)
22. A Golden Age: Conspiracy Theories’ Relationship with Misinformation Outlets, News Media, and the Wider Internet (2023-10)
23. The efficacy of Facebook’s vaccine misinformation policies and architecture during the COVID-19 pandemic (2023-09)
24. Facebook’s News Feed Algorithm and the 2020 US Election (2023-09)
25. High level of correspondence across different news domain quality rating sets (2023-09)
26. Specious Sites: Tracking the Spread and Sway of Spurious News Stories at Scale (2023-08)
27. The role and influence of perceived experts in an anti-vaccine misinformation community (2023-08)
28. CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Research (2023-07)
29. Auditing Algorithmic Communication Flows (2023-06)
30. MisinfoMe: A Tool for Longitudinal Assessment of Twitter Accounts’ Sharing of Misinformation (2023-06)
31. Machine-Made Media: Monitoring the Mobilization of Machine-Generated Articles on Misinformation and Mainstream News Websites (2023-05)
32. aedFaCT: Scientific Fact-Checking Made Easier via Semi-Automatic Discovery of Relevant Expert Opinions (2023-05)
33. Large language models can rate news outlet credibility (2023-04)
34. Introducing Arbiter: Auditing the Spread of News in Online Information Ecosystems (2023-04)
35. Catch Me if You Can: On the Detection of Coordinated Inauthentic Behavior on Social Media and Its Limits (2023-03 preprint)
36. Turning Wikimedia into a news-site credibility tool (2023-03)
37. One Year of COVID-19 Vaccine Misinformation on Twitter: Longitudinal Study (2023-02)
38. A Golden Age: Conspiracy Theories’ Relationship with Misinformation Outlets, News Media, and the Wider Internet (2023-01)
39. Sub-Standards and Mal-Practices: Misinformation’s Role in Insular, Polarized, and Toxic Interactions (2023-01)
40. High level of agreement across different news domain quality ratings (2022-12 preprint)
41. Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine (2022-12)
42. Measuring exposure to misinformation from political elites on Twitter (2022-11)
43. The Belt and Road Initiative on Twitter: An annotated dataset (2022-11)
44. Social media behavior is associated with vaccine hesitancy (2022-09)
45. Emergent Technologies and Extremists: The DWeb as a New Internet Reality? (2022-08)
46. Identification and characterization of misinformation superspreaders on social media (2022-07 preprint)
47. CoVaxNet: An Online-Offline Data Repository for COVID-19 Vaccine Hesitancy Research (2022-06)
48. Measuring the effect of Facebook’s downranking interventions against groups and websites that repeatedly share misinformation (2022-06)
49. Harnessing Web Archives to Tackle Selected Societal Challenges (2022-06)
50. Monitoring User Opinions and Side Effects on COVID-19 Vaccines in the Twittersphere: Infodemiology Study of Tweets (2022-05)
51. Facebook’s Architecture Undermines Vaccine Misinformation Removal Efforts (2022-04)
52. Virality Project: Memes, Magnets, and Microchips: Narrative dynamics around COVID-19 vaccines (2022-02)
53. Evaluating the Efficacy of Facebook’s Vaccine Misinformation Content Removal Policies (2022-02)
54. COVID-19 Vaccine Hesitancy on Social Media: Building a Public Twitter Dataset of Anti-vaccine Content, Vaccine Misinformation and Conspiracies (2021-11)
55. Falsehood in, falsehood out: Measuring exposure to elite misinformation on Twitter (2021-09)
56. Services for measuring and tracking perception and behaviour towards misinformation, European Commission/Co-Inform (2021-08)
57. The Polarized Web of the Voter Fraud Claims in the 2020 US Presidential Election (2021-05)
58. The impact of online misinformation on U.S. COVID-19vaccinations (2021-04)
59. The Manufacture of Partisan Echo Chambers by Follow Train Abuse on Twitter (2021-03)
60. CoVaxxy: A global collection of English-language Twitter posts about COVID-19 vaccines (2021-02)
61. Encounters with Visual Misinformation and Labels Across Platforms: An Interview and Diary Study to Inform Ecosystem Approaches to Misinformation Interventions (2020-12)

Misinfo tools

1. Civic Tech Field Guide: Shares knowledge and productively growing the field.
2. CoVaxxy: Visualizes the relationship between COVID-19 vaccine adoption and online (mis)information, Observatory on Social Media.
3. DeepSee: Identifies and avoids high-risk publishers at scale (monitors 20M sites).
4. Domain Analysis: Provides API with information from multiple sources related to domain or social media account crediblity.
5. Ebiquity: Creates responsible media investments by defunding disinformation.
6. Have I Shared Fake News?: Lists the hyperpartisan/low-quality and fake news shared by any Twitter handle, along with the political slant.
7. Hoaxy: Visualizes the spread of claims and fact checking, Observatory on Social Media.
8. Information Laundromat: Provides Content Similarity Search and Metadata Similarity Search.
9. Misinfo.me: Assesses the credibility of your information source.
10. Reliable Brexit News:  Finds & shares reliable news on #brexit and the UK’s relationship with the #EU.
11. Top FIBers: Lists top-ten superspreaders of low-credibility information on Twitter and Facebook, Observatory on Social Media.
12. Very.FYI: Assesses websites for misinformation risk based on publicly available data.
13. Wikicred / Arbiter: Audits the Spread of News in Online Information Ecosystems
14. Wikicred / Wikipedia Source Controversiality Metrics : Generates and assesses actionable metrics for source controversiality in Wikipedia.

Health/Media guides

1. Covering Coronavirus (newsletter), National Press Club: Journalism Institute
2. Health Resources: Misinformation and Hoaxes, Michigan State University Libraries
3. Interventions, Countering Disinformation
4. Journalist Field Guide: Navigating Climate Misinformation, Climate Action Against Disinformation
5. Journalist’s Toolbox: Copy Editing, Society of Professional Journalists
6. Journalist’s Toolbox: Fact-Checking the Virus, Society of Professional Journalists
7. Lesson plan: How to spot ‘pink slime’ journalism, PBS NewsHour: Classroom
8. Tools to Spot Fakery, Fighting Fake

Journalism/Misinfo articles

1. Iffy.news releases 2024 PolitiFact-check, Reynolds Journalism Institute (2024-10)
2. Pink Slime Journalism (YouTube podcast), Laid Off and Looking (2024-06)
3. From “iffy” news to “spiffy” sources: Creating a comprehensive list of credible news sources, MisinfoCon (2024-02)
4. Is there “pink slime” in your local news?, Atlantic Civic Circle (2024-02)
5. Top FIBers dashboard tracks superspreaders of low-credibility information online, News at IU (2023-05)
6. No, l’esercito russo non ha distrutto nessun bunker della NATO a Kiev, Zeta Luiss (2023-03)
7. Turning Wikimedia into a news-site credibility tool, MisinfoCon (2023-03)
8. Donald Trump’s Disgraced Campaign Manager Seems to Have a New Gig: Pushing Big Oil’s ‘Pink Slime’, Gizmodo (2022-09)
9. Don’t link directly to misinformation sites, Reynolds Journalism Institute (2022-02)
10. Kargo’s “no fake news” guarantee is fake news, Check My Ads (2021-08)
11. Research shows mainstream media helps funds fake news, MisinfoCon (2021-03)
12. Factually newsletter, IFCN/Poynter (2021-03)
13. The promise of Wikidata: How journalists can use the crowdsourced open knowledge base as a data source, by Monika Sengul-Jones DataJournalism.com (2021-02)
14. How to become a ‘harmless linker’ in three easy steps, Reynolds Journalism Institute (2021-02)
15. WikiCred, Wikimedia, and Iffy.news, MisinfoCon (2021-01)
16. WikiCred Projects, WikiCred (2020-10)
17. Your State’s Been Pink-Slimed, MediaWell (2020-09)
18. How Iffy.news Uses Open-source Datasets to Auto-detect Unreliable Sources, MisinfoCon (2020-09)
19. Iffy.news: An index of unreliable sources, Reynolds Journalism Institute (2020-07)