What do people ask their social networks, and why?: a survey study of status message q&a behavior

By Meredith Ringel Morris, Jaime Teevan, Katrina Panovich. International Conference on Human Factors in Computing Systems, 2010

728 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Science Applications, Information Systems

View Paper: https://www.semanticscholar.org/paper/e44440b7e988c3e224439a96617fcf8103e0b2ab

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Citations in the corpus

To search or to ask: the routing of information needs between traditional search engines and social networks (2014, background): “Participants considered both self-directed information needs and a set of prompted needs based on common status message question and query types identified in the literature [16, 19, 24, 28, 35].”
Characterizing and predicting postpartum depression from shared facebook data (2014, background): “Apart from emotion measures, the PPD experiencing mothers seem to post considerably greater content that is question-centric (78% higher), reflecting an attempt to use Facebook as a mechanism for information and advice seeking, or perhaps leveraging their available social capital to tackle the chall”
Visual challenges in the everyday lives of blind people (2013, background): “[22] found that more than half of users had posted a question to their online social network, and that such questions were largely subjective in nature, seeking opinions and recommendations.”
Culture Matters: A Survey Study of Social Q&A Behavior (2011, methodology): “Consistent with prior findings in (Morris et al., 2010), questions belonging to the Recommendation, Opinion, and Factual Knowledge question types compose the majority of the questions in all four countries.”
Using social media for work: Losing your time or improving your work? (2014, background): “One such example is the additional personal context possessed by one’s social ties or the ability to ask a natural language question with the possibility of various responses, particularly when a question is subjective in nature (Morris et al., 2010).”
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets (2015, background): “It is reported in (Morris, Teevan, and Panovich 2010) that users prefer social sites over search engines when talking about opinions and recommendations.”
Design lessons from the fastest q&a site in the west (2011, background): “Social Q&A may leverage existing platforms—for example, people ask questions through Facebook or Twitter status messages [20].”
VizWiz: nearly real-time answers to visual questions (2010, background): “One option may be to send questions to one’s social network [26] or even to more personal contacts via picture text messaging.”
Influence of Social Support Received in Online and Offline Contexts on Satisfaction With Social Support and Satisfaction With Life: A Longitudinal Study (2015, background): “Previous research has focused on information exchange and has addressed the content and value of information exchanged on SNSs (Morris et al., 2010; Panovich et al., 2012).”
Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts (2015, background): “They analyzed the survey responses and presented ﬁndings such as how differently users ask questions via social media and via search engines, and how different cultures inﬂuence the behaviors [24, 23, 36].”
Seeking and sharing health information online: comparing search engines and social media (2014, background): “The implications of sharing health information in open fora such as social media have been examined in general [21], and specifically in the context of health [14,35].”
VizWiz::LocateIt - enabling blind people to locate objects in their environment (2010, background): “Prior work has explored how people ask and answer questions on their online social networks [35].”
#TwitterSearch: a comparison of microblog search and web search (2011, background): “[19] explored the use of status messages to find information by asking questions.”
Characterizing Online Discussion Using Coarse Discourse Sequences (2017, background): “Q&A Q&A pairs are well-studied discourse sequences in research (Cong et al. 2008; Morris, Teevan, and Panovich 2010) because of their applications to information retrieval and relation to CQA sites.”