Facebook najavljuje "Izazov mrskih memova" kako bi zaustavio uvredljive memove i govor mržnje

Facebook je najavio novu inicijativu za zaustavljanje pojavljivanja "mrskih" memova po mreži. Ovaj novi algoritam nazvan "Izazov mrskih mema" dostupan je novinarima i istraživačima na uvid, što zauzvrat od "opasnih mema" može stvoriti nešto "pozitivno" što će "zaštititi ljude" prilikom pregledavanja weba.

Firstly, if you want a quick summary of Facebook’s newly announced program to curb hateful memes, you can check out Memology 101’s video upravo ovdje:

U slučaju da niste pogledali video, prema facebook.com, it is said by Douwe Kiela (research scientist), Hamed Firooz (applied research scientist), and Aravind Mohan (data scientist), that harmful content “affects the entire tech industry and society at large.”

In addition to the above, here’s one of the many pitches behind The Hateful Memes Challenge and what it aims to accomplish:

“We’ve built and are now sharing a data set designed specifically to help AI researchers develop new systems to identify multimodal hate speech. This content combines different modalities, such as text and images, making it difficult for machines to understand.

Skup podataka Hateful Memes sadrži 10,000 XNUMX+ novih multimodalnih primjera kreiranih u Facebook AI. Licencirali smo slike iz Getty Images-a kako bi istraživači mogli koristiti skup podataka kako bi podržali njihov rad. Također izdajemo kôd za modele trenirane na osnovnim linijama.

We are also launching the Hateful Memes Challenge, a first-of-its-kind online competition hosted by DrivenData with a $100,000 total prize pool. The challenge has been accepted as part of the NeurIPS 2020 competition track.”

Facebook AI, along with the Hateful Memes Challenge, is said by the three scientists and the Facebook team to be the best solution at this current moment. However, the team is also looking at ways to prevent potential misuse, and that’s why there will be limited access.

To znači da će sudionici (novinari i istraživači) morati pristati na stroge uvjete korištenja načina na koji će koristiti, pohranjivati ​​i rukovati navedenim podacima.

Nadalje, saznajemo i da tim pokušava pomoći algoritmu AI da razlikuje primjere mržnje od potencijalnih lažnih pozitivnih rezultata. Pokušavajući osigurati djelotvornost odluka o klasifikaciji, tim je stvorio sljedeće primjere posebno za definiranje govora mržnje:

“A direct or indirect attack on people based on characteristics, including ethnicity, race, nationality, immigration status, religion, caste, sex, gender identity, sexual orientation, and disability or disease. We define attack as violent or dehumanizing (comparing people to non-human things, e.g., animals) speech, statements of inferiority, and calls for exclusion or segregation. Mocking hate crime is also considered hate speech.”

Lastly, the team is said to be making progress on improving AI systems to detect “hate speech” and other “harmful content” on Facebook. However, the team wants the Hateful Memes Challenge to spread beyond Facebook and on to other platforms to “keep people safe.”