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Showing posts with the label social

Curbing Online Abuse

“ Curbing Online Abuse Isn’t Impossible. Here’s Where We Start ” by Laura Hudson describes how online abuse was curbed in the battle-arena game League of Legends , published by Riot Games . The following insight is interesting: “Riot found that persistently negative players were only responsible for roughly 13 percent of the game’s bad behavior. The other 87 percent was coming from players whose presence, most of the time, seemed to be generally inoffensive or even positive. […] Banning the worst trolls wouldn’t be enough to clean up League of Legends , Riot’s player behavior team realized. Nothing less than community-wide reforms could succeed. It’s great that Riot’s measures often succeeded in educating offenders and changing their behavior.

Feeds (RSS, Atom) in the time of social media

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These days, social media (Twitter, Facebook, Google+ etc.) seem much more popular than feeds (RSS, Atom). Google claims about the latter that their “usage has declined”. That begs the question: have social media made feeds irrelevant? This blog post answers that question with a firm “no” and explains why. Social media versus feeds Let’s look at the strengths of each of the two. The strengths of social media Social media work well for: High-volume streams of information. In this setting, you don’t care about missing an item. Spreading news items. If you see an item in one of the streams you are following, Twitter et al. make it simple to share it with your followers: you can insert a reference to it into your own stream. That means that news items spread globally, if enough people find them interesting. Communication. I especially find Twitter useful for publicly discussing topics, or for finding out what people think about a given topic. The stengths of feeds T...

Graph search: Facebook as a database

Today, Facebook introduced a new feature called “ graph search ”. This blog post explains what it is. It is based on the Verge’s liveblog of the event. The three pillars of Facebook With the new feature, Facebook will have three pillars: News feed: what's going on with people around me? Timeline: tell me something about this person Graph search: letting people examine any aspect of the data stored in Facebook that they want. Graph search In principle, graph search is like a “Google for Facebook”. But where Google searches huge amounts of text, Facebook will search its “graph” – entities and their connections (X knows Y, X likes Y, etc.). Examples of searches you can perform via graph search: “Music liked by people who like Obama” “Friends of friends who are single men in San Francisco” “Languages my friends speak” “TV shows liked by doctors” “Movies my friends like” “Photos of my friends taken in Paris” “Bars in Dublin liked by people who live in Dublin” “Restaurants i...