Publication statistics

Pub. period:2005-2012
Pub. count:10
Number of co-authors:6



Co-authors

Number of publications with 3 favourite co-authors:

William A. Wallace:4
Jordan Boyd-Graber:2
Thomas Clay Templeton:2

 

 

Productive colleagues

Kenneth R. Fleischmann's 3 most productive colleagues in number of publications:

William A. Wallace:11
Jordan Boyd-Graber:6
Thomas Clay Temple..:2
 
 
 

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Kenneth R. Fleischmann

 

Publications by Kenneth R. Fleischmann (bibliography)

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2012
 
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Koepfler, Jes A. and Fleischmann, Kenneth R. (2012): Studying the values of hard-to-reach populations: content analysis of tweets by the 21st century homeless. In: Proceedings of the 2012 iConference 2012. pp. 48-55. Available online

This paper describes a content analysis of a corpus of 5,313 tweets from 32 individuals collected during a three-week period in March/April 2011. The corpus comprised two study groups: Group H -- Twitter users who self-identified as homeless or formerly homeless in their Twitter profiles, and Group NH -- a random, stratified sample of Twitter users who did not self-identify as homeless and who shared similar Twitter characteristics with those in Group H. The study uses the Meta-Inventory of Human Values for Informal Communication (MIHV-IC) to study value expression in tweets. Two rounds of inter-coder reliability testing demonstrated the challenges of reliably detecting human values in tweets. Analysis of categories with substantial inter-coder agreement indicated significant differences between the two groups for helpfulness and wealth. This approach provides a promising opportunity for detecting the values of hard-to-reach populations such as the 21st century homeless.

© All rights reserved Koepfler and Fleischmann and/or their publisher

2011
 
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Fleischmann, Kenneth R., Robbins, Russell W. and Wallace, William A. (2011): Collaborative learning of ethical decision-making via simulated cases. In: Proceedings of the 2011 iConference 2011. pp. 319-326. Available online

This paper describes the development and evaluation of an educational simulation that supports collaborative learning of ethical decision-making (EDM). This collaboration-based simulation serves as the core component of an information ethics course. Twenty-two graduate students used the simulation during the second half of a semester-long course. Twenty of the twenty-two

© All rights reserved Fleischmann et al. and/or ACM Press

 
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Fleischmann, Kenneth R., Templeton, Thomas Clay and Boyd-Graber, Jordan (2011): Modeling diverse standpoints in text classification: learning to be human by modeling human values. In: Proceedings of the 2011 iConference 2011. pp. 672-673. Available online

An annotator's classification of a text not only tells us something about the intent of the text's author, it also tells us something about the annotator's standpoint. To understand authorial intent, we can consider all of these diverse standpoints, as well as the extent to which the annotators' standpoints affect their perceptions of authorial intent. To model human behavior, it is important to model humans' unique standpoints. Human values play an especially important role in determining human behavior and how people perceive the world around them, so any effort to model human behavior and perception can benefit from an effort to understand and model human values. Instead of training humans to obscure their standpoints and act like computers, we should teach computers to have standpoints of their own.

© All rights reserved Fleischmann et al. and/or ACM Press

 
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Templeton, Thomas Clay, Fleischmann, Kenneth R. and Boyd-Graber, Jordan (2011): Comparing values and sentiment using Mechanical Turk. In: Proceedings of the 2011 iConference 2011. pp. 783-784. Available online

Human values can help to explain people's sentiment toward current events. In this experiment, we compare people's values with their agreement or disagreement with paragraphs that were classified as either supporting or opposing a specific topic. We found that five value types have statistically significant agreement (p<0.001) for both the supporting and opposing paragraphs, in opposite directions. We hope to use these paragraph ratings to train an automatic text classifier to agree or disagree with paragraphs based on a specific value profile.

© All rights reserved Templeton et al. and/or ACM Press

2009
 
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Fleischmann, Kenneth R. and Wallace, William A. (2009): Ensuring transparency in computational modeling. In Communications of the ACM, 52 (3) pp. 131-134. Available online

2008
 
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Kelton, Kari, Fleischmann, Kenneth R. and Wallace, William A. (2008): Trust in digital information. In JASIST - Journal of the American Society for Information Science and Technology, 59 (3) pp. 363-374. Available online

2006
 
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Fleischmann, Kenneth R. (2006): Do-it-yourself information technology: Role hybridization and the design-use interface. In JASIST - Journal of the American Society for Information Science and Technology, 57 (1) pp. 87-95. Available online

 
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Fleischmann, Kenneth R. (2006): The digital sublime: Myth, power, and cyberspace. In JASIST - Journal of the American Society for Information Science and Technology, 57 (7) pp. 989-990. Available online

2005
 
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Fleischmann, Kenneth R. (2005): Virtual dissection and physical collaboration. In First Monday, 10 (5) . Available online

 
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Fleischmann, Kenneth R. and Wallace, William A. (2005): A covenant with transparency: opening the black box of models. In Communications of the ACM, 48 (5) pp. 93-97. Available online

 
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