Artificial Intelligence

Internal code: 4.3b1

Target groups:

General description

Interventions
 * (Belgian Senate (2021)) Social media platforms and fact-check projects use AI.
 * - "Zo laat de propagatiedynamiek toe om na te gaan hoe een gerucht wordt verspreid, zonder de inhoud te bekijken. De locatie en snelheid van informatie-uitwisseling zijn immers anders bij desinformatie dan bij neutrale inhoud."
 * - Refers to Textgain: "Opsporen van haatspraak, desinformatie, discriminatie; achterhalen hoe echo chambers zich vormen op sociale media".
 * - Discovering deepfakes

Impact measurements
 * (Avaaz (2020a)) "Flaws in Facebook's fact-checking system mean that even simple tweaks to misinformation content are enough to help it escape being labeled by the platform. ... As a result, many Facebook pages seem to be slipping under Facebook’s radar for being a “repeat offender” and avoid being down ranked in users' News Feeds. ... We identified 119 ‘repeat misinformers’ -- pages that we found have shared misinformation content at least three times, which was fact-checked by one of Facebook’s fact-checking partners in the US over the last year. Together, these pages generated an estimated 5.2 billion views in a year. All this is happening despite Facebook’s recent claim that its AI is already “able to recognise near-duplicate matches” and “apply warning labels”, regarding Covid-19 misinformation and exploitative content, noting that “for each piece of misinformation [a] fact-checker identifies, there may be thousands or millions of copies.” Our findings suggest that Facebook’s detection systems are failing to keep up and need to be made much more sophisticated to prevent disinformation going viral."

Assumptions
 * Guillaume Chaslot on Artificial Intelligence effects in social media

Recommendations
 * (Belgian Senate (2021)) "De Senaat beveelt aan om te investeren in technieken en technologieën, zoals artificiële intelligentie, die desinformatie kunnen herkennen en melden."

Artificial Intelligence projects