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Surfing above the Influence

Surfing above the Influence. Amélie Marian Rutgers University. The “old way” A few trusted sources of information (Newspapers, magazine, radio) Accountable fact-checking Town gossip Now: online news, web 2.0 Not only facts: opinions, reviews, comments Various quality levels

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Surfing above the Influence

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  1. Surfing above the Influence Amélie Marian Rutgers University

  2. The “old way” A few trusted sources of information (Newspapers, magazine, radio) Accountable fact-checking Town gossip Now: online news, web 2.0 Not only facts: opinions, reviews, comments Various quality levels Difficult to identify good information sources Established sources (e.g., newspapers) + highly accurate - conservative in their reporting Blogs and non-trusted sources - wide variance in accuracy + sources of many breaking stories, Main stream Media vs. the “undernews” Sources of Information

  3. So much information, so little time • Several source quality parameters to consider • Trustworthiness (correct or corroborated facts and opinions) • Freshness of information • Coverage (domain) • Novelty (breaking new information) • Influence (sources are not independent) • Web sources provide useful data than can be used to assess source quality • timestamps (freshness, influence) • links and backlinks(influence, dependence) • text and topic similarity (influence, coverage, trust) • Model flow of information between sources • Identify novel sources • Look at the big picture, not a particular piece of information Can we identify these automatically?

  4. Categorizing news sources High novelty, low trust: the National Enquirer High trust, but highly influenced and low novelty: “In the papers” Finding inter-dependence and influence between news sources Eater.com food blog is influenced by the NY Times food reviews Identify sources that do provide new topic coverage Applications Influencegraph • Bob’s foodie blog

  5. Some Research Challenges • Identifying topic relationships between sources • Text analysis, sentiment analysis (NLP) • Link analysis • Discovering influence • Related to dependency (i.e., copying) • More details by Luna tomorrow. • What is positive/negative influence and what is people reacting to the same information • Complex influence flows between more than two sources • What can we do with this? • Focus on good quality sources (not only on data) • Personalization of source recommendations • Dismiss redundant sources, or reduce their impact

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