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Between Monday 07 March 2022 and Monday 14 March 2022, misinformation about Other 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 07 March 2022 and Monday 14 March 2022.

390,985 Misinforming Tweets
New:+3,554 Trend:-2,330
195,480 Fact-checking Tweets
New:+400 Trend:-4
16,193 Fact-checks
102 Fact-checking Organisations

Key Content and Topics

During the period between Monday 07 March 2022 and Monday 14 March 2022, 3,554 new URLs have been identified as potential misinforming content. Out of the 8 topics identified by Fact-checking organisations (Figure 1), most of the new shared URLs were about Vaccine with an increase of +3,407 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 Causes 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. Vaccines: Information relating to vaccines (e.g., side effects, effectiveness).
  8. Masks: Information concerning the usage of masks.
  9. 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 Other with a change of +64 compared to the previous total spread for the same topic whereas the topic that saw the least relative change was Other with a change of -2,429 compared to the previous period.

The all time most important topic is Authorities with a total of 135,754 URL shares and the least popular topic is Symptoms with 3,251 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.facebook.com/watch/ StopFake.org Vaccine 3242 5624 33296
https://archive.ph/ StopFake.org Other 112 60 478
https://www.worldometers.info/ Agencia Ocote Authorities 85 73 37686
https://m.facebook.com/home.php Vistinomer Other 52 57 841
https://www.instagram.com/accounts/login/ StopFake.org Authorities 28 38 1725
http://dilyana.bg/project-g-2101-pentagon-biolab-discovered-mers-and-sars-like-coronaviruses-in-bats/ Myth Detector Conspiracy Theory 16 10 213
https://traugott-ickeroth.com/liveticker/ Correctiv Conspiracy Theory 4 1 568
https://1scandal.com/etats-unis-la-cour-supreme-annule-la-vaccination-universelle/ La Silla VacĂ­a Vaccine 2 3 373
https://twitter.com/NICKIMINAJ/status/1437532566945341441 FactCheck.org Vaccine 2 1 30653
https://www.flgov.com/2021/07/30/governor-desantis-issues-an-executive-order-ensuring-parents-freedom-to-choose/ PolitiFact Spread 1 7 30

Table 1: Top misinforming content.

Fact-check URL Topic Current Week Previous Week Total
https://factcheck.afp.com/http%253A%252F%252Fdoc.afp.com%252F9UC4LE Vaccine 35 59 158
https://healthfeedback.org/claimreview/ivermectin-study-itajai-contains-methodological-weaknesses-questionable-conclusions/ Cure 22 8 186
https://healthfeedback.org/claimreview/short-identical-gene-sequence-sars-cov-2-and-gene-sequence-patented-moderna-found-in-other-organisms-not-evidence-virus-engineered-daily-mail/ Conspiracy Theory 19 41 60
https://healthfeedback.org/claimreview/joe-rogan-interview-with-peter-mccullough-contains-multiple-false-and-unsubstantiated-claims-about-the-covid-19-pandemic-and-vaccines/ Conspiracy Theory 18 33 1086
https://www.newtral.es/bulo-hombre-fumando-fallecido-covid-videoclip/20210429/ Conspiracy Theory 14 1 15
https://healthfeedback.org/claimreview/ivermectin-isnt-a-highly-effective-drug-for-treating-covid-19-tess-lawrie/ Cure 13 1 234
https://factcheck.afp.com/video-does-not-show-covid-19-victims-it-shows-russian-music-video-being-filmed Other 11 0 76
https://www.factcheck.org/2022/03/scicheck-covid-19-vaccines-have-prevented-deaths-contrary-to-misleading-graphic-on-social-media/ Vaccine 10 15 25
https://www.factcheck.org/2021/04/scicheck-idaho-doctor-makes-baseless-claims-about-safety-of-covid-19-vaccines/ Vaccine 9 12 1018
https://www.politifact.com/factchecks/2020/may/21/facebook-posts/disposable-homemade-masks-are-effective-stopping-a/ Spread 8 11 1338

Table 2: Top fact-checked content.

Fact-checking

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 1004 countries and covering 46 languages.

The largest amount of fact-checked content comes from English (8,486 fact-checks) and the least is Finland (1 fact-checks). Most fact-checked content is in Spanish (4,515) followed by Portuguese (2,790) and Ukrainian (2,069) (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.