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Preventing Spoilers on Twitter: A Challenge in Social Computing

Explore how blacklisting tweets related to TV shows, sports, and events can prevent spoilers on Twitter, with insights on effectiveness, missed tweets, and challenges faced in social computing research.

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Preventing Spoilers on Twitter: A Challenge in Social Computing

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  1. The Twitter Mute Button Jennifer Golbeck Human-Computer Interaction Lab University of Maryland, College Park

  2. Why do people insist on talking about the plot line of `24' when those of us on the West Coast haven't seen it yet? • Really, guys? We're going to tweet Glee spoilers? It's fine. I didn't want to watch it on tivo tomorrow or anything... nope... not me. • @user9452636 pls Stop spoiling 24 for those of us at work and who have it tivo'd....I'm too addicted to twitter to shut it off

  3. A Challenge • Preventing spoilers requires blocking 100% of tweets related to an event. • This is insane.

  4. A Naïve Test – Blacklisting

  5. Building Blacklists • TV Shows • Character names • Actor names • Sports • Player, coach, team names • Positions, plays, events • Stadiums, cities • Removed 1- and 2-letter words, punctuation, stop words

  6. Results • Overall, very effective • 24 – 1 tweet missed (1.26%) • Glee – 6 tweets missed (3.24%) • NFC Championship – 20 tweets missed (1.64%) • But misses can be really bad!Wow. Two drives, two TDs. 7-7. This is going to be fun! • False positives are a problem • 24 – 68.7% • Glee – 30.5% • NFC Championship – 70%

  7. Challenges • Areas of Research • Social Computing • Computational Linguistics • UI issues • Applications • Events • Parental Control • Unwanted content (e.g. politics)

  8. Questions / Contact • golbeck@cs.umd.edu • @jengolbeck • http://www.cs.umd.edu/~golbeck

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