Learning about the world through long-term query logs

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Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Examples include phenomena maintaining fairly constant patterns or evolving over long periods (Richardson, 2008; Crawford and Finn, 2014).”
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media (2017, background): “Kıcıman and Richardson [53], for example, advocates using a classifier to identify messages that describe personal experiences.”
When Are Search Completion Suggestions Problematic? (2020, background): “However, the effect of running a query is often long lasting, as there is a correlation among not only the within sessions queries, but also among temporally distant queries [65].”
Towards Decision Support and Goal Achievement: Identifying Action-Outcome Relationships From Social Media (2015, background): “Richardson uses long-term query logs to identify topical and temporal relationships about the world [37]; [45] and [44] extract relationships between drugs and possible consequences (adverse reactions) from search queries.”