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   https://doi.org/10.1002/asi.24114  

   Lee, Myeong ; Butler, Brian S. ( February 2019 , Journal of the Association for Information Science and Technology)
2. Candidate Vulnerability and Exposure to Counterattitudinal Information: Evidence From Two U.S. Presidential Elections: Candidate Vulnerability and Counterattitudinal Information

   https://doi.org/10.1111/hcre.12088  

   Carnahan, Dustin ; Garrett, R. Kelly ; Lynch, Emily K. ( October 2016 , Human Communication Research)
3. Partisan Provocation: The Role of Partisan News Use and Emotional Responses in Political Information Sharing in Social Media: Partisan News, Emotions, and Information Sharing

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   Hasell, A. ; Weeks, Brian E. ( October 2016 , Human Communication Research)
4. Would you like to know more? The effect of personalized wildfire risk information and social comparisons on information-seeking behavior in the wildland–urban interface

   https://doi.org/10.1007/s11069-021-04534-x  

   Meldrum, James R. ; Brenkert-Smith, Hannah ; Champ, Patricia A. ; Gomez, Jamie ; Byerly, Hilary ; Falk, Lilia ; Barth, Christopher M. ( April 2021 , Natural Hazards)
5. From Information to Ideas: How Designers Structure Information to Support Idea Generation

   https://doi.org/10.1115/DETC2020-22527  

   Damen, Nicole B. ; Toh, Christine A. ( August 2020 , International Design Engineering Technical Conferences)

   Design can be seen as a series of decisions that are informed by information that the designer has gathered from the environment and transformed into actionable knowledge. The sheer volume and variety of available information compels designers to impose structure upon the desired information, which in turn may affect subsequent design activities. To better understand how information may inform design decisions, this study investigates the relationship between designers’ information organization behaviors and their generated ideas by recruiting eight professionals (four from software design and four from graphic design) for individual 3-hour design sessions. They were asked to generate ideas for a design problem (reducing pedestrian accidents in Nebraska) using the provided information. Results reveal that designers structured the information in three different ways (Clusters, Relations, and Nests), and both designer background and organizational strategy display different roles in the features generated in their ideas.