#TwitterSearch: a comparison of microblog search and web search
By Jaime Teevan, Daniel Ramage, Meredith Ringel Morris. 2011
424 citations recorded by the source corpus.
Subfields: Communication, Information Systems, Statistical and Nonlinear Physics
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Communication
- Alexandra Olteanu
- Fernando Diaz
- Carlos Castillo
- Emre Kıcıman
- Jaime Teevan
- Meredith Ringel Morris
- Julia Schwarz
- Scott Counts
In Information Systems
- Jaime Teevan
- Emre Kıcıman
- Meredith Ringel Morris
- Carlos Castillo
- Fernando Diaz
- Susan T. Dumais
- J´erˆome Kunegis
- Arifah Che Alhadi
In Statistical and Nonlinear Physics
- Carlos Castillo
- Alexandra Olteanu
- Fernando Diaz
- Emre Kıcıman
- Krishna P. Gummadi
- Meredith Ringel Morris
- J´erˆome Kunegis
- Arifah Che Alhadi
Citations in the corpus
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Teevan et al. (2011) found web and microblogging search to capture distinct use cases: queries on Twitter are shorter and more popular, focusing on temporally relevant information and people, while web queries tend to develop as users learn more about a topic.”
- From chatter to headlines: harnessing the real-time web for personalized news recommendation (2012, background): “[22] reports that 49% of users search while looking for information related to news, or to topics gaining popularity, and in general to “to keep up with events.”
- Sampling Content from Online Social Networks (2015, methodology): “…contains useful topical information is highly correlated with the presence of hashtags or URLs in the tweet (as has also been observed in prior studies [Teevan et al. 2011]). to the random digest, the expert digest has twice as many tweets with hashtags and four times as many tweets with URLs .”
- Comparing Twitter and Traditional Media Using Topic Models (2011, background): “A most recent piece of work [15] tries to explore search behavior on the popular microblogging site Twitter, which also has a different focus than ours.”
- On the Interpretation of Digital Trace Data in Communication and Social Computing Research (2014, background): “Seven of the ten social computing articles about hyperlinks either lack either justifications for their interpretations or lack interpretations alto-gether (those not already mentioned are Chen et al., 2009; Lee et al., 2010; Teevan et al., 2011; and Tsagkias et al., 2011).”
- Towards Supporting Search over Trending Events with Social Media (2013, methodology): “All rights reserved. finding and monitoring information about time-sensitive topics (Teevan, Ramage, and Morris 2011).”
- Understanding and combating link farming in the twitter social network (2012, background): “As the information shared over Twitter grows rapidly, search is increasingly being used to find interesting trending topics and recent news [26].”
- Searching microblogs: coping with sparsity and document quality (2011, background): “This is of particular interest, as queries on Twitter are typically short: 1.64 words on average [15].”
- Tweeting is believing?: understanding microblog credibility perceptions (2012, background): “Search-based access to tweets has become increasingly available through third-party search tools, including Google [24] and Bing [33], and researchers have begun to study how people use search to access microblog updates [7, 37].”