@inproceedings{62d448adcec74ec98be810850091b8ca,
title = "In CMC we trust: The role of similarity",
abstract = "This paper examines how different forms of linguistic similarity in a text-chat environment relate to the establishment of interpersonal trust. Sixty-two pairs played an iterative social dilemma investment game and periodically communicated via Instant Messenger (IM). Novel automated and manual analysis techniques identify linguistic similarity at content, structural and stylistic levels. Results reveal that certain types of content (some positive emotion words, task-related words), structural (verb tense, phrasal entrapment), and stylistic (emoticons) similarity characterize high trusting pairs while other types of similarity (e.g., negative emotion words) characterize low trusting pairs. Contrary to previous literature, this suggests that not all similarity is good similarity.",
keywords = "Instant messaging (IM), Language, Lexical entrapment, Linguistic similarity, Social dilemma, Trust",
author = "Scissors, {Lauren E.} and Gill, {Alastair J.} and Kathleen Geraghty and Darren Gergle",
year = "2009",
doi = "10.1145/1518701.1518783",
language = "English (US)",
isbn = "9781605582474",
series = "Conference on Human Factors in Computing Systems - Proceedings",
pages = "527--536",
booktitle = "CHI 2009",
note = "27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009 ; Conference date: 04-04-2009 Through 09-04-2009",
}