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Is anyone out there?: unpacking Q&A hashtags on twitter

Published: 26 April 2014 Publication History
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  • Abstract

    In addition to posting news and status updates, many Twitter users post questions that seek various types of subjective and objective information. These questions are often labeled with 'Q&A' hashtags, such as #lazyweb or #twoogle. We surveyed Twitter users and found they employ these Q&A hashtags both as a topical signifier (this tweet needs an answer!) and to reach out to those beyond their immediate followers (a community of helpful tweeters who monitor the hashtag). However, our log analysis of thousands of hashtagged Q&A exchanges reveals that nearly all replies to hashtagged questions come from a user's immediate follower network, contradicting users' beliefs that they are tapping into a larger community by tagging their question tweets. This finding has implications for designing next-generation social search systems that reach and engage a wide audience of answerers.

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    1. Is anyone out there?: unpacking Q&A hashtags on twitter

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      cover image ACM Conferences
      CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
      April 2014
      4206 pages
      ISBN:9781450324731
      DOI:10.1145/2556288
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 26 April 2014

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      Author Tags

      1. hashtags
      2. information seeking
      3. q&a
      4. social search
      5. twitter

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      CHI '14
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      CHI '14: CHI Conference on Human Factors in Computing Systems
      April 26 - May 1, 2014
      Ontario, Toronto, Canada

      Acceptance Rates

      CHI '14 Paper Acceptance Rate 465 of 2,043 submissions, 23%;
      Overall Acceptance Rate 6,098 of 25,914 submissions, 24%

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      Cited By

      View all
      • (2021)Exploring the Utility Versus Intrusiveness of Dynamic Audience Selection on FacebookProceedings of the ACM on Human-Computer Interaction10.1145/34760835:CSCW2(1-30)Online publication date: 18-Oct-2021
      • (2020)Intergenerational Online Health Information Searching and Brokering: Framing Health Literacy as a Family AssetHealth Communication10.1080/10410236.2020.184744537:4(438-449)Online publication date: 18-Nov-2020
      • (2018)How Latino Children in the U.S. Engage in Collaborative Online Information Problem Solving with their FamiliesProceedings of the ACM on Human-Computer Interaction10.1145/32744092:CSCW(1-26)Online publication date: 1-Nov-2018
      • (2018)The Beauty of UglinessComputer Supported Cooperative Work10.1007/s10606-018-9331-327:3-6(355-388)Online publication date: 1-Dec-2018
      • (2017)An Analysis of Individuals’ Behavior Change in Online GroupsSocial Informatics10.1007/978-3-319-67217-5_29(473-498)Online publication date: 3-Sep-2017
      • (2017)Search Result Personalization in Twitter Using Neural Word EmbeddingsBig Data Analytics and Knowledge Discovery10.1007/978-3-319-64283-3_18(244-258)Online publication date: 3-Aug-2017
      • (2017)ASKJournal of the Association for Information Science and Technology10.1002/asi.2365568:2(333-347)Online publication date: 1-Feb-2017
      • (2015)A Taxonomy for Classifying Questions Asked in Social Question and AnsweringProceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems10.1145/2702613.2732928(1947-1952)Online publication date: 18-Apr-2015

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