Twitter: “In March, we introduced our new approach to improve the health of the public conversation on Twitter. One important issue we’ve been working to address is what some might refer to as “trolls.” Some troll-like behavior is fun, good and humorous. What we’re talking about today are troll-like behaviors that distort and detract from the public conversation on Twitter, particularly in communal areas like conversations and search. Some of these accounts and Tweets violate our policies, and, in those cases, we take action on them. Others don’t but are behaving in ways that distort the conversation. To put this in context, less than 1% of accounts make up the majority of accounts reported for abuse, but a lot of what’s reported does not violate our rules. While still a small overall number, these accounts have a disproportionately large – and negative – impact on people’s experience on Twitter. The challenge for us has been: how can we proactively address these disruptive behaviors that do not violate our policies but negatively impact the health of the conversation? A New Approach – Today, we use policies, human review processes, and machine learning to help us determine how Tweets are organized and presented in communal places like conversations and search. Now, we’re tackling issues of behaviors that distort and detract from the public conversation in those areas by integrating new behavioral signals into how Tweets are presented. By using new tools to address this conduct from a behavioral perspective, we’re able to improve the health of the conversation, and everyone’s experience on Twitter, without waiting for people who use Twitter to report potential issues to us…”