Share this article Share The group did not respond to a request for comment, but shared links to articles about the suspension on its Facebook page which has a blue tick. Twitter announced the changes to its guidelines last month, warning people they would come into effect on December Twitter says it is being much more ‘aggressive in dealing with ‘hate and abuse’ The site will now weigh hateful imagery in the same way it does graphic violence and adult content on its site. That means users may not use such imagery in live video or profile and header images. If a user posts hateful symbols or images, it must be marked ‘sensitive media’. Other users would then see a warning that would allow them to decide whether to view the post. Twitter is also prohibiting users from abusing or threatening others through their profile information, including usernames. Twitter has admitted it ‘may make some mistakes’ as it strives to enforce the new policy aimed at reducing hateful and abusive content on the platform. In a statement, the social site said:
A series of fake tweets have been created and circulated in order to denigrate New York Times journalist Sarah Jeong. Published 17 October Claim Journalist Sarah Jeong once tweeted that every time she sees a “bald white kid” she secretly hopes “he had leukemia. Although similar campaigns had resulted in the firings of people such film director James Gunn , the New York Timesstuck by their decision to hire Jeong.
ALMOST , Twitter messages about Scottish independence were posted by fake accounts, most believed to be Russian. Researchers say hundreds of automated accounts – so-called Twitter bots.
Share on Facebook Share on Twitter Twitter on Wednesday released a trove of 10 million tweets it says represents the full scope of foreign influence operations on the platform dating back nearly a decade — including Russia’s consistent efforts to disparage Hillary Clinton and an initially erratic approach to Donald Trump that eventually settled on a concerted pro-Trump message during the campaign. The huge data cache consists of tweets from some 3, accounts tied to the Kremlin troll farm known as the Internet Research Agency and others linked to Iran.
It also includes some 2 million GIFs, videos and other pieces of visual content. Twitter said it’s making the information available to “enable independent academic research and investigation,” according to a company blog post. Story Continued Below The Russian tweets around the presidential election showed distinct patterns when it came to Clinton and Trump, according to researchers at the nonpartisan Atlantic Council’s Digital Forensic Research Lab, which has been scouring the data since late last week.
While the Clinton animus was clear from the start, it took the IRA awhile to settle on its Trump strategy, as the Republican primary played out. You can unsubscribe at any time. He described “peaks and troughs — a lot of pro-Trump content and a lot of anti-Trump content” in and , adding that Trump’s GOP rival Sen. Jeb Bush was the target of negative content. But Nimmo said the messaging around Trump turned decidedly in his favor around the time the reality show star began locking up the Republican nomination.
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Moreover, the draft law considers blogs and personal social media accounts to be websites, which would be subject to account removal, fines, and imprisonment if found to be spreading false news. President Sisi ratified several of the laws after the coverage period.
She formerly served in executive roles at Symantec and FireEye and was deputy chief of staff for cybersecurity operations under President George W. The fact that Russian-linked bots penetrated social media to influence the U. In fact, on October 17, Twitter disclosed that foreign interference dating back to involved 4, accounts — most affiliated with the Internet Research Agency, a Russian troll farm.
There were more than 10 million suspicious tweets and more than 2 million GIFs, videos and Periscope broadcasts. In this season of another landmark election — a recent poll showed that about 62 percent of Americans believe the midterm elections are the most important midterms in their lifetime — it is natural to wonder if the public and private sectors have learned any lessons from the fiasco — and what is being done to better protect against this malfeasance by nation-state actors.
There is good news and bad news here. In mid-October, Twitter suspended hundreds of accounts that simultaneously tweeted and retweeted pro-Saudi Arabia talking points about the disappearance of journalist Jamal Khashoggi. Researchers from Clemson University told the newspaper that accounts affiliated with the Internet Research Agency posted more 12, tweets on the issue, with activity peaking soon after a September 22, speech by President Trump in which he said team owners should fire players for taking a knee during the anthem.
I see positive developments, too. About two-thirds of Americans have heard of social media bots, and the vast majority of those people are worried bots are being used maliciously, according to a Pew Research Center survey of 4, U. Second, lawmakers are starting to take action. While I support the increase in awareness and focused interest by legislators, I do feel the California law has some holes. However, the law is a good start, and shows that governments are starting to take the problem seriously.
ATsch 8 months ago the 34c3 talk “social bots, fake news and filterbubbles” comes to mind unfortunately originally in German The tl;dw of this is that when defining “bots”, most researchers used very misleading metrics e. TehCorwiz 8 months ago It feels like the solution is some version of person-hood verification. At the time most people had dial-up, due to my father’s business we had an ISDN line and multiple computers, to prevent bots they made the assumption that multiple logins from the same IP were bots.
So to combat this without blanket bans, the mods would warp us into a private area and have us type a different list of things simultaneously to satisfy themselves that we were actual people.
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Twitter’s origins lie in a “daylong brainstorming session” held by board members of the podcasting company Odeo. Jack Dorsey , then an undergraduate student at New York University , introduced the idea of an individual using an SMS service to communicate with a small group. The decision was also partly due to the fact that the domain twitter.
The definition was ‘a short burst of inconsequential information,’ and ‘chirps from birds’. And that’s exactly what the product was. With Twitter, it wasn’t clear what it was. They called it a social network, they called it microblogging, but it was hard to define, because it didn’t replace anything. There was this path of discovery with something like that, where over time you figure out what it is.
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Share this article Share There is also the possibility that prominent politicians are buying blocks of Twitter followers. Such an accusation was leveled at Republican presidential candidate Mitt Romney in The digital security company Baccardua Labs told The Guardian that Romney’s surge of new followers at the time were ‘not from a general Twitter population but most likely from a paid Twitter follower service.
So far, there is not a feasible way to confirm who is responsible,’ said the report’s author, Jason Ding. No such report about Obama’s social media accounts was published. MailOnline looked at 21 accounts, and the numbers show that just about everyone in Washington is a minimum of 11 per cent phony — at least on Twitter Up, up, up! House Speaker Newt Gingrich has made a name for himself among conservatives with nearly 1. The company also offers a day money-back guarantee. One report determined that Republican presidential candidate Mitt Romney’s social media staff purchased a raft of Twitter followers to boost his online credibility The most genuine follower totals in MailOnline’s sample were those of the four congressional ‘whips’ — the second-in-command members in each party who enforce discipline and count heads before votes are called.
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The script I wrote was rather simple. It was seeded with the dozen or so accounts that I originally witnessed, and was designed to iterate friends and followers for each user, looking for other accounts displaying similar traits. Whenever a new account was discovered, it was added to the query list, and the process continued. Of course, due to Twitter API rate limit restrictions, the whole crawler loop was throttled so as to not perform more queries than the API allowed for, and hence crawling the network took quite some time.
After a few hours I checked the output and discovered an interesting pattern: After running for several days the script had queried about accounts, and discovered a little over 22, accounts with similar traits. I stopped it there. I started by checking this one:
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