Iffy.news in the news

Articles, research tools and papers, and health/media guides which use Iffy.news resources.

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

Research papers

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