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Priming Effects and Strategic Influences in Social Tagging

Bibliographic Data

ID15215879
AuthorsDavid Bodoff (0000-0003-4594-9706, University of Haifa, corresponding author), Eran Vaknin (University of Haifa)
Year2015
Volume31
Issue2
Pages133-171
Publication date2015-08-25
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370024.2015.1080609
OpenAlexW2292472126
LanguageEN
References cited46

In many social tagging systems, users can see the tags already created by others. Prior research has shown that this exposure leads users to create tags that are semantically related to the previous ones. We investigate two possible mechanisms through which this occurs, semantic priming and strategic choice. Semantic priming occurs when an existing tag subconsciously primes the user’s mind to suggest semantically related tags. In an experiment, no such effect is found, in contrast to prior research. A follow-up study shows that whether semantic priming occurs depends on whether the person uses others’ previously created tags or is just passively exposed to them. The second type of influence, strategic choice, occurs in ESP-type settings. It refers to behavior in which a user chooses words that are semantically related to an existing tag in order to increase the chances of matching one’s partner. Experimental results provide clear evidence of this strategic influence. In a follow-up study, we demonstrate that there is a meaningful difference in the tag sets that are created under the influence of strategic choice. Our work sheds light on the conditions and mechanisms through which existing tags influence subsequent tagging behavior

Biology · Cognitive psychology · Contrast (vision · Matching (statistics · Priming (agriculture · Computer Science · Knowledge Management and Sharing · Mathematics · Misinformation and Its Impacts · Personal Information Management and User Behavior · Psychology · Artificial Intelligence

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