Information Overload and the Message Dynamics of Online Interaction Spaces: A Theoretical Model and Empirical Exploration

By Quentin Jones, Gilad Ravid, Sheizaf Rafaeli. Information systems research, 2004

785 citations recorded by the source corpus.

Subfields: Communication, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/3e94abdaa3ed9d46ee8f3b419e28cacf07a2cb1c

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In Communication

In Statistical and Nonlinear Physics

Citations in the corpus

Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries (2014, background): “While this growing amount of personal and public conversations represent a valuable source of information, going through such overwhelming amount of data, to satisfy a particular information need, often leads to an information overload problem (Jones et al., 2004).”
Streaming on twitch: fostering participatory communities of play within live mixed media (2014, methodology): “They apply an information-processing constraints model [12] to investigate how IRC, by removing normal limits on communication, puts increased demand on human information-processing capabilities.”
Applying Common Identity and Bond Theory to Design of Online Communities (2007, background): “They ask questions and make comments that old-timers have seen and responded to multiple times in the past; their chatter is one source of information overload that drives others away (Jones et al. 2004).”
Informational Cascades and Software Adoption on the Internet: An Empirical Investigation (2009, background): “First, the vast amount of information available on the Web has created information overload among online users (Brynjolfsson and Smith 2000; Jones et al. 2004; Shapiro and Varian 1999).”
Usability and Sociability in Online Communities: A Comparative Study of Knowledge Seeking and Contribution (2009, background): “Online communities have become increasingly prevalent in recent years (Butler, 2001; Jones et al., 2004; Ma and Agarwal, 2007).”
Anxious or Angry? Effects of Discrete Emotions on the Perceived Helpfulness of Online Reviews (2014, background): “In theory, the availability of hundreds of reviews provides more information to customers, but it also creates problems such as information overload (Jones et al. 2004).”
More than Words: The Influence of Affective Content and Linguistic Style Matches in Online Reviews on Conversion Rates (2013, background): “The online purchase process reflects these conditions (Jones, Ravid, and Rafaeli 2004), in that text-based affective content words provide rapidly accessible and diagnostic signals about targets (Cohen et al. 2008).”
Lurking? cyclopaths?: a quantitative lifecycle analysis of user behavior in a geowiki (2010, background): “For example, Whit-taker et al. [31] and Jones et al. [14] revealed the dynamics of large scale discussions; Lampe and Resnick investigated the effectiveness of distributed moderation for information ﬁltering [16].”
Exploring determinants of voting for the "helpfulness" of online user reviews: A text mining approach (2011, background): “The huge amount of information available on the Web has created information overload among online users [2,14].”
Mining customer requirements from online reviews: A product improvement perspective (2016, background): “A vast number of online reviews may, in theory, create problems such as information overload [61].”