A Microtext Corpus for Persuasion Detection in Dialog on ShortScience.org

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A Microtext Corpus for Persuasion Detection in Dialog
Young, Joel and Martell, Craig H. and Anand, Pranav and Ortiz, Pedro and IV, Henry Tucker Gilbert
AAAI Conference on Artificial Intelligence - 2011 via Local Bibsonomy
Keywords: dblp

Summaries/Notes 1

[link] Summary by AcaWiki 8 years ago

This paper presents a microtext corpus derived from hostage negotiation transcripts. This source was chosen for its availability and its density of persuasion: Traditional microtext sources (Twitter, SMS, chat rooms) showed "limited occurrences of directly persuasive attempts". Even the negotiation transcripts showed fewer than 12% persuasive utterances.

They definie persuasion as "the ability of one party to convince another party to act or believe in some desired way". Cialdini's persuasion model was used, focusing on:

1. Reciprocity
2. Commitment and Consistency
3. Scarcity
4. Liking
5. Authority
6. Social Proof

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