This week, Twitter essentially announced what you could call their entrance into the chatbot space, without ever mentioning the word “chatbot”. Given that spam bots have been a challenge for Twitter in the past, it is not surprising they’re avoiding the term with this launch.
Based on a very rough average of 23 words per tweet, it will take just over 113,000 tweets to post the entire report. With the same rate of a one tweet every five minutes it means the bot will take more than 565,000 minutes, or more than 9,400 hours to complete its task.
That’s 392.5 days. More than a year, and yet it will still get through the report more quickly than it was written.
Caspar Wrede doesn’t think we should so easily forget the startups of Silicon Valley yesteryear. So the Berlin-based product manager built a Twitter bot called Deathwatch that monitors the health of tech start-ups. Companies that haven’t tweeted for 40 days are declared “unwell.” Those that have been inactive for 180 days or more are officially pronounced dead.
As part of research recently published in the journal Political Behavior, I conducted an experiment on Twitter to find out the best tactics people can use to discourage other users from using harassing language. I found that these sanctioning messages do have an effect, but not in all contexts.
It turns out that much of the political content Americans see on social media every day is not produced by human users. Rather, about one in every five election-related tweets from September 16 to October 21 was generated by computer software programs called “social bots.”
According to Sam Woolley, a researcher from Oxford University’s Project on Computational Propaganda (which has not been peer reviewed), about 50 to 55 percent of Clinton’s Twitter activity—the likes, follows, and retweets she gets—is from bots, which is typical for high-profile public figures. But Trump’s automated Twitter activity, according to Woolley, is a much higher 80 percent.
DeepDrumpf has more than 25,000 followers on Twitter, with tweets that include: “I’m what ISIS doesn’t need,” and “I love me.” Hayes has now launched a mock presidential campaign for the deep-learning algorithm.
Meet the Twitter handle @NiceBot, a cheerful spambot that blurts a small dose of positivism into the Twitterverse every 36 seconds by matching a randomly generated compliment with a randomly selected Twitter user.
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