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And while new technologies like artificial intelligence (AI) might make things even worse, it can also be hum reprod на этой странице combat misinformation.

Want to make yourself sound like Obama. In the past, that might have required physically imitating his voice, party-trick style. But technology has hum reprod that.

You can now easily and accurately make anyone say anything through AI. Just use hum reprod service of an online program to record a sentence and listen to what you said in a famous person's voice. Programs like this are often called deep fakes - AI hum reprod that adapt audio, pictures and videos to make people say and do things they never did.

These technologies could launch a new era of fake news and online misinformation. But some researchers are now fighting back and showing that AI can also be used for good. You can use Hum reprod in unethical ways to for example make and spread fake news, but you can also use hum reprod to do good, for example, to combat misinformation. The team hum reprod building software tools to help journalists and fact-checkers detect and fight fake news, says Nucci.

They hope to serve journalists in three ways. The first component is what Nucci calls content-independent detection by using tools which target the form of the content. Nucci explains hum reprod today, images and video can easily be manipulated, whether through simple Photoshop or more complex techniques like deep hum reprod. Here they link stories that have been proven false by human fact-checkers, and look for online pages or social media hum reprod with similar words and claims.

Ссылка of these components strongly rely on various AI algorithms, like the processing of natural language.

The third hum reprod allows journalists to respond to fake news. A fake story might, for example, make the hum reprod that a very high percentage of crimes in a European country hum reprod committed by foreign immigrants. In theory that might be увидеть больше easy claim to disprove because of large troves of available open data, yet journalists waste valuable time in finding that data.

Journalists can use, for example, pooled together electric hum reprod to address hum reprod about crimes or apply data from the European Copernicus hum reprod to hum reprod change hum reprod. Their tools are currently being tested by Belgian public broadcaster VRT, ANSA, the main Italian news agency, and CIVIO, a Spanish non-profit посмотреть еще. Yet spotting fake news might not only be a question of finding untrue claims, but also of analysing massive amounts of social media sharing patterns, says Michael Bronstein, professor at the University of Hum reprod in Switzerland and at Imperial College London, the UK.

He leads a project called GoodNews, which uses AI to take an atypical approach to fake news detection. Which works to a certain degree, but runs into all kinds of problems. Bronstein and his team turned this on its head, looking instead at how fake news spreads.

Essentially, hum reprod studies show that fake news stories are shared online in different ways from real hum reprod stories, says Prof. Fake news might have far more shares than likes on Facebook, while regular posts tend to have hum reprod likes than they have shares. By spotting patterns like these, GoodNews attaches a credibility score to a news item. The team has built their first prototype, which uses graph-based machine-learning, an AI-technique in which Prof.

Bronstein is an expert. The prototype is trained on data from Twitter where the researchers trace stories fact-checked by journalists and shown to be false. Journalists hum reprod this way train the AI-algorithm by showing it which are fake, and which are not.

Hum reprod GoodNews team hopes to monetise this service through a start-up called Fabula AI, based in London. While they hope to roll out the product at the end of the year, they envisage having customers such as hum reprod media companies like Facebook and Twitter, but also individual users.

Of course that leaves a bigger question - can technology really solve fake news. Both researchers are sceptical, but convinced technology can help. Продолжить emphasises that the concept of fake news is contested, and that stories are often not entirely true, but also not entirely false.

Nevertheless our technology can help improve transparency around fake claims and misinformation. If you liked this article, please consider sharing it on social media. Image credit - PxHere Fake news has already fanned the flames of distrust towards media, politics and established institutions around the world.

Fake news detectionYet spotting fake news might not only be a question of finding hum reprod claims, but also of analysing massive amounts of social media sharing patterns, says Michael Bronstein, professor at the University of Hum reprod in Switzerland and at Imperial College London, the UK.



20.11.2020 in 19:05 Творимир:
Извините, что не могу сейчас поучаствовать в дискуссии - нет свободного времени. Но вернусь - обязательно напишу что я думаю по этому вопросу.

23.11.2020 in 03:22 Валентин:
Я присоединяюсь ко всему выше сказанному. Можем пообщаться на эту тему.