UChicago-Computational-Content-Analysis / Readings-Responses-2024-Winter

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8. LLMs to Model Agents & Interactions - [E2] Goldberg, Amir, Sameer B. Srivastiva, V. Govind Manian, William Monroe and Christopher Potts. #12

Open lkcao opened 8 months ago

lkcao commented 8 months ago

Post questions here for this week's exemplary readings:

  1. Goldberg, Amir, Sameer B. Srivastiva, V. Govind Manian, William Monroe and Christopher Potts. 2016. “Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness”. American Sociological Review 81(6): 1190-1222.
donatellafelice commented 6 months ago

I actually originally read the article that was the precursor to this article but couldn't find where to post. My original question was if anyone had, as Danescu-Niculescu-Mizil et al suggest, investigated how the patterns of linguistic change are affected by engagement in multiple communities? I see here that this is a very substantial investigation into a single community network through the work place. I really liked the idea that the more "emails she sends that exhibit different stylistic, topical, and emotional characteristics than the ones she receives, the lower her cultural fit" - I wondered how this could apply to the analysis of conversation data. I am specifically studying disagreement, and I wonder if we could leverage this model to see if we could predict how a conversation might 'derail' due to lack of cultural fit. Has anything more advanced than the LIWC been invented since this article was published?

erikaz1 commented 6 months ago

Post questions here for this week's exemplary readings:

  1. Goldberg, Amir, Sameer B. Srivastiva, V. Govind Manian, William Monroe and Christopher Potts. 2016. “Fitting In or Standing Out? The Tradeoffs of Structural and Cultural Embeddedness”. American Sociological Review 81(6): 1190-1222.

Updated link with access via CNET ID: https://journals-sagepub-com.proxy.uchicago.edu/doi/epub/10.1177/0003122416671873

Twilight233333 commented 6 months ago

The authors' research is excellent, but I am still concerned about whether the research background is generalizable. Is this relationship unique to the U.S. and unique at this time when email is generally used?

HamsterradYC commented 6 months ago

Considering the study's specific context within a U.S. technology company primarily utilizing email communication, and the potential for different conclusions in varying cultural backgrounds or industries—such as Chinese companies employing proprietary office systems or WeChat, where work communication bleeds into daily life and may not be influenced solely by a single community—how might we discuss the trade-offs between structural and cultural embeddedness across different interfaces and communities, within organizations upholding distinct cultural norms, or departments characterized by diverse innovation dynamics?

JessicaCaishanghai commented 6 months ago

Given the trade-off between network diversity and communication bandwidth in accessing novel information as discussed, how do different characteristics of information environments (such as the rate of knowledge refreshment and depth of topical knowledge) influence the effectiveness of weak ties and structural holes in providing access to new ideas or information within professional settings like executive recruiting firms?