Between Monday 19 April 2021 and Monday 26 April 2021, misinformation about Authorities 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 19 April 2021 and Monday 26 April 2021.

243,242 Misinforming Tweets
New:+317 Trend:-119
141,858 Fact-checking Tweets
New:+1,496 Trend:-147
16,386 Fact-checks
101 Fact-checking Organisations

Key Content and Topics

During the period between Monday 19 April 2021 and Monday 26 April 2021, 317 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 Conspiracy Theory with an increase of +494 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 Symptoms with a change of +10 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 Spread with a change of +173 compared to the previous total spread for the same topic whereas the topic that saw the least relative change was Spread with a change of -159 compared to the previous period.

The all time most important topic is Other with a total of 100,211 URL shares and the least popular topic is Symptoms with 2,848 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://madisonarealymesupportgroup.com/2020/09/30/proof-that-the-pandemic-was-planned-with-purpose/ Newschecker Conspiracy Theory 211 244 933
https://www.efsyn.gr/politiki/paraskinia/291064_statistikes-alhimeies-kryboyn-tin-protia-tis-elladas-se-nekroys Ellinika Hoaxes Authorities 14 0 14
https://www.cdc.gov/mmwr/volumes/69/wr/mm6936a5.htm Détecteur de rumeurs Other 7 1 1642
https://www.facebook.com/100010448590135/videos/1400459030312370/ La Silla Vacía Conspiracy Theory 7 0 7
https://vixra.org/pdf/2006.0044v1.pdf Détecteur de rumeurs Spread 6 2 162
https://youtu.be/Q-MkTdc4fCg Newschecker Authorities 6 0 8
https://www.whitehouse.gov/briefings-statements/remarks-president-trump-vice-president-pence-members-coronavirus-task-force-press-briefing-31/ AFP Cure 5 0 778
https://www.the-scientist.com/news-opinion/lab-made-coronavirus-triggers-debate-34502 LeadStories Conspiracy Theory 4 5 1962
https://www.alertadigital.com/2020/12/06/mike-yeadon-ex-vicepresidente-de-pfizer-no-hay-necesidad-de-vacunas-la-pandemia-ha-terminado/ Maldita.es Conspiracy Theory 4 0 22
https://traugott-ickeroth.com/liveticker/ Correctiv Conspiracy Theory 3 4 443

Table 1: Top misinforming content.

Fact-check URL Topic Current Week Previous Week Total
https://www.factcheck.org/2021/04/scicheck-stories-falsely-cite-stanford-study-to-misinform-on-face-masks/ Spread 175 0 175
https://www.factcheck.org/2021/04/scicheck-idaho-doctor-makes-baseless-claims-about-safety-of-covid-19-vaccines/ Vaccine 63 0 63
https://factuel.afp.com/non-une-etude-de-stanford-na-pas-demontre-linutilite-des-masques-contre-le-covid-19 Authorities 59 0 59
https://factcheck.afp.com/kentucky-monastery-covid-19-cases-not-evidence-vaccine-problems Vaccine 40 1 60
https://www.ellinikahoaxes.gr/2021/04/23/ochi-i-ellada-den-einai-proti-stous-thanatous-covid-19-stin-ee/ Authorities 32 0 32
https://www.factcheck.org/2021/04/scicheck-irish-professor-makes-unfounded-claims-about-long-term-effects-of-mrna-vaccines/ Vaccine 27 0 27
https://maldita.es/malditaciencia/20210419/falsedades-miguel-bose-lo-de-evole/ Conspiracy Theory 20 0 20
https://piaui.folha.uol.com.br/lupa/2021/04/15/verificamos-senado-italiano-tratamento-precoce/ Cure 19 90 109
https://correctiv.org/faktencheck/2021/03/30/liste-mit-angeblich-im-jahr-2020-geschlossenen-krankenhaeusern-fuehrt-in-die-irre/ Authorities 18 0 18
https://correctiv.org/faktencheck/2020/12/03/nein-waehrend-der-pandemie-wurden-nicht-nonstop-intensivbetten-abgebaut/ Conspiracy Theory 17 30 175

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 101 fact-checking organisation based in 1000 countries and covering 46 languages.

The largest amount of fact-checked content comes from English (8,706 fact-checks) and the least is Finland (1 fact-checks). Most fact-checked content is in Spanish (4,577) followed by Portuguese (2,801) and Ukrainian (2,073) (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.