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Between Monday 16 August 2021 and Monday 23 August 2021, misinformation about Cure has increasead whereas misinformation about Vaccine has reduced.

The Fact-checking Observatory is an automatic service that collects misinforming content on Twitter using URLs that have been identified as potential misinformation by fact-checking websites. Using this data, the Fact-checking Observatory automatically generates weekly reports that updates the state of misinformation spread of fact-checked misinformation on Twitter.

This analysis is limited to URLs identified by Fact-checking organisations. The collected data only consist of non-blocked Twitter content and may be incomplete.

This report updates the status of misinformation spread between Monday 16 August 2021 and Monday 23 August 2021.

317,339 Misinforming Tweets
New:+71 Trend:-257
165,898 Fact-checking Tweets
New:+774 Trend:-1,023
14,422 Fact-checks
102 Fact-checking Organisations

Key Content and Topics

During the period between Monday 16 August 2021 and Monday 23 August 2021, 71 new URLs have been identified as potential misinforming content. Out of the 10 topics identified by Fact-checking organisations (Figure 1), most of the new shared URLs were about Vaccine with an increase of +497 compared to the previous total spread for the same topic. The topic that saw the least increase in spread compared to the previous period total spread was Face Mask with a change of +0 compared to the previous total spread for the same topic.

The topics used for the analysis are obtained from the COVID-19 specific fact-check alliance database and are defined as follows:

  1. Authorities: Information relating to government or authorities communication and general involvement during the COVID-19 pandemic (e.g., crime, government, aid, lockdown).
  2. Causes: Information about the virus causes and outbreaks (e.g., China, animals).
  3. Conspiracy theories: COVID-19-related conspiracy theories (e.g., 5G, biological weapon).
  4. Cures: Information about potential virus cures (e.g., vaccines, hydroxychloroquine, bleach).
  5. Spread: Information relating to the spread of COVID-19 (e.g., travel, animals).
  6. Symptoms: Information relating to symptoms and symptomatic treatments of COVID-19 (e.g., cough, sore throat).
  7. Other: Any topic that does not fit directly the aforementioned categories.

In relation to the previous week, the topic that saw the biggest relative spread change was Face Mask with a change of +0 compared to the previous total spread for the same topic whereas the topic that saw the least relative change was Face Mask with a change of -829 compared to the previous period.

The all time most important topic is Authorities with a total of 128,025 URL shares and the least popular topic is Face Mask with 1 shares (Figure 2).

Figure 1: Topic Importance.

Figure 2: Amount of topic shares per week.

The top misinforming content and fact-checking articles shared since the last report are listed in Table 1 and Table 2.

Misinforming URL Fact-check URL Topic Current Week Previous Week Total
https://www.youtube.com/watch?v=Du2wm5nhTXY PolitiFact Vaccine 19 143 5222
https://www.worldometers.info/ Agencia Ocote Authorities 17 89 34389
https://c19study.com D├ętecteur de rumeurs Cure 5 5 29246
https://www.youtube.com/watch?v=dswaElkiRO8 FactCheck.org Other 4 13 222
https://www.facebook.com/100005834767637/posts/1617788441758966/ Demagog Vaccine 4 0 4
https://madisonarealymesupportgroup.com/2020/09/30/proof-that-the-pandemic-was-planned-with-purpose/ Newschecker Conspiracy Theory 3 5 1518
https://www.the-scientist.com/news-opinion/lab-made-coronavirus-triggers-debate-34502 LeadStories Conspiracy Theory 2 5 2111
https://dailyexpose.co.uk/2021/05/23/an-exclusive-interview-with-dr-roger-hodkinson-when-the-history-of-this-madness-is-written-reputations-will-be-slaughtered-and-there-will-be-blood-in-the-gutter/ FactCheck.org Vaccine 2 1 332
https://www.dispatch.com/story/news/2021/06/09/doctor-sherri-tenpenny-testimony-ohio-lawmakers-vaccines-magnetized-5-g/7616027002/ PolitiFact Vaccine 2 0 168
https://realrawnews.com/2021/08/marines-rebuke-def-sec-no-mandatory-vaccinations-for-my-marines/ FactCheck.org Vaccine 2 0 2

Table 1: Top misinforming content.

Fact-check URL Topic Current Week Previous Week Total
https://factcheck.afp.com/scientist-makes-inaccurate-claims-covid-19-vaccine-safety Vaccine 101 138 295
https://healthfeedback.org/claimreview/no-data-available-to-suggest-a-link-between-indias-reduction-of-covid-19-cases-and-the-use-of-ivermectin-jim-hoft-gateway-pundit/ Cure 30 22 291
https://www.newtral.es/bulo-variantes-coronavirus-luc-montagnier/20210601/ Vaccine 18 56 196
https://teyit.org/analiz-nobel-odulu-sahibi-luc-montagnierin-covid-19-asisi-olanlarin-iki-yil-icinde-olecegini-acikladigi-iddiasi Vaccine 17 11 243
https://www.sciencepresse.qc.ca/actualite/detecteur-rumeurs/2021/03/31/vaccination-fait-apparaitre-virus-plus-dangereux-faux Vaccine 15 16 198
https://www.factcheck.org/2021/04/scicheck-idaho-doctor-makes-baseless-claims-about-safety-of-covid-19-vaccines/ Vaccine 10 0 221
https://www.lemonde.fr/les-decodeurs/article/2020/04/21/brigitte-macron-a-demande-au-professeur-raoult-de-soigner-sa-fille-un-poisson-d-avril-de-l-extreme-droite_6037332_4355770.html Conspiracy Theory 10 0 75
https://www.factcheck.org/2021/08/scicheck-hospitals-overwhelmed-by-another-surge-of-covid-19-patients-financial-strain/ Conspiracy Theory 10 0 10
https://www.factcheck.org/2021/08/scicheck-indiana-doctor-piles-on-bogus-covid-19-claims-in-viral-video/ Vaccine 9 163 172
https://factcheck.afp.com/us-cardiologist-makes-false-claims-about-covid-19-vaccination Vaccine 9 12 330

Table 2: Top fact-checked content.


The data used for creating the Twitter dataset is obtained from the Poynter Coronavirus Fact Alliance. The alliance consists of 102 fact-checking organisation based in 859 countries and covering 49 languages.

The largest amount of fact-checked content comes from English (7,598 fact-checks) and the least is Finland (1 fact-checks). Most fact-checked content is in Spanish (4,116) followed by Portuguese (2,495) and Ukrainian (1,764) (Figure 3).

Figure 3: Amount of fact-checks by language.

Figure 4: Amount of fact-checked content per contry.

Determining a direct impact of fact-checking on the spread of misinformation is not easy. However, it is possible to determine how well a particular corrective information is spreading in relation to its corresponding misinformation.

Figure 5 shows how misinformation and fact-checking content has spread in various topics for the last two analysis periods and overall.

Figure 5: Topical misinformation and fact-checks spread.

Demographic Impact

Using automatic methods, Twitter account demographics are extracted for user age, gender and account type (i.e., identify if an account belong to an individual or organisation).

Figure 6 displays how misinformation and fact-checks are spread by different demographics.

Figure 6: Misinformation and Fact-check spread for different demographics. Top: Gender, Center: Age group, Bottom: Account type.

Data Collection and Methodology

The full methodology and information about the limitation and dataset used for this analysis can be accessed in the [methodology page](https://fcobservatory.org/faq/).