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Social media are among the primary sources of news in the U.S. and across the world. Yet users are exposed to content of questionable accuracy, including conspiracy theories, clickbait, hyperpartisan content, pseudo science, and even fabricated “fake news” reports.
It’s not surprising that there’s so much disinformation published: Spam and online fraud are lucrative for criminals, and government and political propaganda yield both partisan and financial benefits. But the fact that low-credibility content spreads so quickly and easily suggests that people and the algorithms behind social media platforms are vulnerable to manipulation.
As AI's reach grows, the stakes will only get higher. ... by algorithms: what we see (or don't see) in our news and social media ... Consider a recent write-up in Wired, which illustrated how dating app algorithms reinforce bias.
Other algorithms on social media may reinforce stereotypes and preferences as they process and display "relevant" data for human users, for example, by selecting information based on previous choices of a similar user or group of users. Beyond assembling and processing data, bias can emerge as a result of design.
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A: problems with typical American food and possible solutions.
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Conflict.
Tension.
Surprise.
Extraordinary characters or character behaviour.
Controversy.
Mystery.
Suspense.
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These can be themes that are included in a plot
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you have to press the persons username (whoever you want to chat with) then you press the button that looks like a text message
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<em>The Constituent Assembly of India, consisting of indirectly elected representatives, was established to draft a constitution for India (including the now-separate countries of Pakistan and Bangladesh). It existed for approx. three years, the first parliament of India after independence in 1947.</em>