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What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
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In: Valerie Shalin (2017)
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What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
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In: Valerie Shalin (2017)
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Sensemaking: Beyond the Servo Metaphor
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In: John M. Flach (2015)
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Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
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In: John M. Flach (2015)
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What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
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In: John M. Flach (2015)
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What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
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In: John M. Flach (2015)
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Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
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In: Publications (2014)
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Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
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In: Amit P. Sheth (2014)
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What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
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In: Amit P. Sheth (2014)
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Identifying Seekers and Suppliers in Social Media Communities to Support Crisis Coordination
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In: Kno.e.sis Publications (2014)
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What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
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In: Amit P. Sheth (2014)
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What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
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In: Publications (2013)
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Abstract:
The information overload created by social media messages in emergency situations challenges response organizations to find targeted content and users. We aim to select useful messages by detecting the presence of conversation as an indicator of coordinated citizen action. Using simple linguistic indicators associated with conversation analysis in social science, we model the presence of conversation in the communication landscape of Twitter in a large corpus of 1.5M tweets for various disaster and non-disaster events spanning different periods, lengths of time and varied social significance. Within Replies, Retweets and tweets that mention other Twitter users, we found that domain-independent, linguistic cues distinguish likely conversation from non-conversation in this online (mediated) communication. We demonstrate that conversation subsets within Replies, Retweets and tweets that mention other Twitter users potentially contain more information than non-conversation subsets. Information density also increases for tweets that are not Replies, Retweets or mentioning other Twitter users, as long as they reflect conversational properties. From a practical perspective, we have developed a model for trimming the candidate tweet corpus to identify a much smaller subset of data for submission to deeper, domain-dependent semantic analyses for the identification of actionable information nuggets for coordinated emergency response.
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Keyword:
Computer Engineering; Electrical and Computer Engineering; Psycholinguistic; tweet; Twitter; Twitter users
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URL: https://corescholar.libraries.wright.edu/knoesis/127 https://scholarcommons.sc.edu/aii_fac_pub/136
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What Kind of #Conversation is Twitter? Mining #Psycholinguistic Cues for Emergency Coordination
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In: Kno.e.sis Publications (2013)
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What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
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In: Publications (2012)
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What Kind of #Communication is Twitter? A Psycholinguistic Perspective on Communication in Twitter for the Purpose of Emergency Coordination
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In: Kno.e.sis Publications (2012)
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Sensemaking: Beyond the Servo Metaphor
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In: Psychology Faculty Publications (2004)
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