Number of Posts: 3
Posts 1 - 3
Twitter brings IBM's AI machine Watson on board to fight abuse
Newspaper | Telegraph
Date | 23.3.2017
Language | English
Country | UK
Topic Tags | artificial intelligence, cyberbullying, Twitter
Summary | Twitter are responding to growing criticism about the mass of abuse happening on the platform. The are launching a new artificial intelligence helper to detect abuse. His name is Watson and he is very good at understanding subtle meanings and intentions as well as analysis images.
Image Description | Reuters image of silhouettes holding smartphones in front of the Twitter logo,
Image Tags | hand(s), logo, smartphone, Twitter
2016: the year Facebook became the bad guy
Newspaper | The Guardian
Date | 12.12.2016
Language | English
Country | UK
Topic Tags | cyberbullying, Facebook, fake news, law, threat
Summary | 2016 has been a bad year for Facebook. Many scandals surrounded the company. It became clear that Facebook is now longer just an advertizing machine with access to almost 2 billion people world-wide but that it also curates what news media most of these people perceive - whether Facebook wants to accept this or not. They no longer just have to deal with sensoring nudity and human rights violations content but also fake news. While Zuckerberg denies that the fake news bubbles have influenced the presidential elections, his company at the same time makes tons of money selling exactly this persuasive power to advertisers.
Image Description | The Facebook reaction emojis and dislike (thumb-down) emojis, glasses in front of like buttons, and a man holding a smartphone with the Facebook logo in the background.
Image Tags | emojis, Facebook, logo, male(s), smartphone
Tackling abuse on social media is a monumental task - but billion dollar companies should be up to it
Newspaper | Telegraph
Date | 15.3.2017
Language | English
Country | UK
Topic Tags | artificial intelligence, cyberbullying, law, social media, threat
Summary | Social media have a huge problem with trolling, cyberbullying, and sharing of criminal content. It is however extremely difficult for providers to find such content before it is reported or seen by many. Especially in verbal abuse, the line between joking and slander is blurred and human language is too messy to be able to flag down such instances with algorhythms.
Image Description | Getty image of the Facebook logo on a hand-held smartphone and a laptop and a photograph of a screen showing the Twitter logo.
Image Tags | Facebook, hand(s), logo, Twitter
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