Bots. Nick Monaco
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Название: Bots

Автор: Nick Monaco

Издательство: John Wiley & Sons Limited

Жанр: Кинематограф, театр

Серия:

isbn: 9781509543601

isbn:

СКАЧАТЬ href="http://politybooks.com">politybooks.com

      At this point, it’s hard to believe there was ever a time in my life when I hadn’t heard the word “bot.” The last decade of research and learning has been a thrilling journey, and I’m grateful for all the wonderful people I’ve met along the way. In no particular order, I want to express my deepest thanks to Tim Hwang, Marina Gorbis, John Kelly, Vladimir Barash, Camille François, Phil Howard, Clint Watts, Mark Louden, Frieda Ekotto, Helmut Puff, Roman Graf, Ralph Hailey, Rosemarie Hartner, Chou Changjen, Yao Yuwen, and Yauling and Joel for their support, guidance, and encouragement. I’m continually inspired by all the courageous journalists, activists, and researchers I’ve worked with over the years, especially my colleagues and friends in Taiwan – your work changes lives. A huge thanks to my friends Sam C., Nate, Amanda, Ike, Anj, Sylvia, Quin, Renata, Samantha, Jake, Jackie, Skyler, Trevor, Jane, and Doug for making life so full and always being up for an interminable conversation. My co-author, Sam Woolley, you’ve been an incredible friend and colleague, and I’m already looking forward to our next project. Lastly and above all, I’m most grateful to my wonderful family – Mom, Dad, Grammy, Mark, Ben, Britnea, Franki, Rocco, Benni, Murphy, Andi, and all the Monacos and Carmacks. Your love has made me who I am. There’s no better family on Earth.

       Nick

       Sam

      AI – Artificial Intelligence

      ANT – Actor Network Theory

      ASA – Automated Social Actors

      CUI – Conversational User Interface

      GPU – Graphics Processing Unit

      GUI – Graphical User Interface

      HCI – Human–Computer Interaction

      HMC – Human–Machine Communication

      IO – Information Operations

      IRC – Internet Relay Chat

      ML – Machine Learning

      MT – Machine Translation

      MUD – Multi-user domain, multi-user dungeon

      NLP – Natural Language Processing

      RES – Robot Exclusion Standard

      STS – Science, Technology, and Society studies

      The 2020 United States presidential election was one of the most impassioned in the country’s history. President Donald Trump and his Democratic opponent Joe Biden both contended they were fighting for nothing less than the future of American democracy itself. The election brought with it several events rarely seen in the history of American democracy – an election held in the middle of a global pandemic, citizens’ storming of the US Capitol, and attempts by a sitting president to overturn the results of a free and fair election. Unprecedented events weren’t only taking place offline, however – social bots, or computer programs posing as humans on social media sites such as Twitter and Facebook, were beginning to use artificial intelligence (AI) techniques to fly under the radar of security teams at social media platforms and target voters with political messages. One of the leading bot detection experts in the US bluntly admitted,

      Back in 2016, bots used simple strategies that were easy to detect. But today, there are artificial intelligence tools that produce human-like language. We are not able to detect bots that use AI, because we can’t distinguish them from human accounts. (Guglielmi, 2020)

      Until recently, the word “bot” was fairly obscure, used mostly in arcane discussions in the academy between scholars, and in Silicon Valley meeting rooms full of computer programmers. The year 2020 was, of course, not the first time bots had been deployed to participate hyperactively in online political discussion in the US. The November 2016 presidential election was the one that gave bots a household name, both in the US and around the world. Journalists and researchers documented the underhanded automated tactics that were being used during that contest to promote both candidates. For many, this was the first time that they realized that political discussions online might not have an actual person on the other end – it might be a piece of software feeding us canned lines from a spreadsheet on the other side of the globe. Now, we can’t seem to get that idea out of our heads. These days, social media users quickly label any antagonistic arguer on social media a “bot,” whether it’s a troll, a disinformation agent, or a true bot (an automated account).

      Other bots are malicious. They amplify disinformation and sow discord on social media, lure the lonely onto dating sites, scam unsuspecting victims, and facilitate denial-of-service cyberattacks, crashing websites by overloading them СКАЧАТЬ