Purpose: Support users in sharing their search experience with others.
Criteria:
- Can you share a link to the results or conversation?
- Is there an explanation of how the share interface works provided or linked to in the interface itself?
- Do shared links update if the sharee's interaction with the system continues??
- Is there a social share card?
- Are share links (or links to searches) indexed and searchable in search engines (or the system itself)?
Details:
Research demonstrates significant value in users communicating about their experiences with tools. Better support for sharing interactions with these systems may improve users collective ability to effectively question/complain, teach, & organize about/around/against these tools (i.e. “working around platform errors and limitations” & “virtual assembly work” (Burrell et al., 2019), “repairing searching” (Griffin, 2022), search quality complaints (Griffin & Lurie, 2022), and end-user audits (Lam et al., 2022, Metaxa et al., 2021)) and improve our “practical knowledge” of the systems (Cotter, 2022). Burrell, J., Kahn, Z., Jonas, A., & Griffin, D. (2019). When users control the algorithms: Values expressed in practices on Twitter. Proc. ACM Hum.-Comput. Interact., 3(CSCW). https://doi.org/10.1145/3359240 Cotter, K. (2022). Practical knowledge of algorithms: The case of BreadTube. New Media & Society, 1–20. https://doi.org/10.1177/14614448221081802 Griffin, D. (2022). Situating web searching in data engineering: Admissions, extensions, repairs, and ownership [PhD thesis, University of California, Berkeley]. https://danielsgriffin.com/assets/griffin2022situating.pdf Griffin, D., & Lurie, E. (2022). Search quality complaints and imaginary repair: Control in articulations of Google Search. New Media & Society, 0(0), 14614448221136505. https://doi.org/10.1177/14614448221136505 Lam, M. S., Gordon, M. L., Metaxa, D., Hancock, J. T., Landay, J. A., & Bernstein, M. S. (2022). End-user audits: A system empowering communities to lead large-scale investigations of harmful algorithmic behavior. Proc. ACM Hum.-Comput. Interact., 6(CSCW2). https://doi.org/10.1145/3555625 Metaxa, D., Park, J. S., Robertson, R. E., Karahalios, K., Wilson, C., Hancock, J., & Sandvig, C. (2021). Auditing algorithms: Understanding algorithmic systems from the outside in. Foundations and Trends® in Human–Computer Interaction, 14(4), 272–344. https://doi.org/10.1561/1100000083References