English words for бот include overshoe and botch it. Find more Russian words at wordhippo.com!
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With the 2022 mid-term election campaign already in full swing, it’s not out of the question that we will see the same infiltration of “Russian bots” that we saw during the 2016/2020 election cycle. Inevitably, there will be external forces (and not just from Russia) looking to influence the outcome of the U.S. election in a way that suits their interests. So would you be able to identify a “Russian bot” if you spotted one in the wild? Here’s what you need to know… First of all, Russian agents do not necessarily operate “Russian bots” – the term has become […]
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Five ways to identify phony Twitter accounts and ditch them.
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Bots targeting the U.S. slowed their anti-vax campaigns while accelerating pro-Russia messaging, which doesn’t stick as well in the West.
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How can you know if the person you're passionately "debating" with online is a real person and not a Russian bot? Use these guidelines.
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Congress held hearings last week on how Russia used social media to interfere with the presidential campaign. One key tool they used was "bots," computer programs that act like real people online.
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Bret Schafer of the Alliance for Securing Democracy tracks activity of Russia-linked social media bots, trolls and influencers. He talks to Steve Inskeep about the topics those bots focus on.
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Objectives. To understand how Twitter bots and trolls (“bots”) promote online health content. Methods. We compared bots’ to average users’ rates of vaccine-relevant messages, which we collected online from July 2014 through September 2017. We estimated the likelihood that users were bots, comparing proportions of polarized and antivaccine tweets across user types. We conducted a content analysis of a Twitter hashtag associated with Russian troll activity. Results. Compared with average users, Russian trolls (χ2(1) = 102.0; P < .001), sophisticated bots (χ2(1) = 28.6; P < .001), and “content polluters” (χ2(1) = 7.0; P < .001) tweeted about vaccination at higher rates. Whereas content polluters posted more antivaccine content (χ2(1) = 11.18; P < .001), Russian trolls amplified both sides. Unidentifiable accounts were more polarized (χ2(1) = 12.1; P < .001) and antivaccine (χ2(1) = 35.9; P < .001). Analysis of the Russian troll hashtag showed that its messages were more political and divisive. Conclusions. Whereas bots that spread malware and unsolicited content disseminated antivaccine messages, Russian trolls promoted discord. Accounts masquerading as legitimate users create false equivalency, eroding public consensus on vaccination. Public Health Implications. Directly confronting vaccine skeptics enables bots to legitimize the vaccine debate. More research is needed to determine how best to combat bot-driven content.
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Pamela Williamson looks into the world of Russian trolls and bots.
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Forget China: Russia remains the disinformation problem we need to solve for first on social media.
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Russia still poses a threat to U.S. elections according to U.S. intelligence agency leaders, especially through the power of social media. Joy Reid and her panel discuss how Americans can protect themselves from Russian bots.
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Since the beginning of the war in Ukraine, on February 24, a large number of accounts, whose main goal was to spread pro-Russian disinformation, were detected on Twitter. Many of these profiles are suspected to be bots, but a large part could also be managed by actual human beings that act coordinat
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