To search or to ask: the routing of information needs between traditional search engines and social networks
By Anne Oeldorf-Hirsch, Brent J. Hecht, Meredith Ringel Morris, Jaime Teevan, Darren Gergle. 2014
72 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
In Information Systems
- Fernando Diaz
- Alexandra Olteanu
- Carlos Castillo
- Shuo Chang
- Loreen Terveen
- Emre Kıcıman
- Hamed Zamani
- Jimmy J. Lin
Citations in the corpus
- Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “Differences have been observed in the type of traces users leave when trying to answer a question by searching on a search engine, compared to asking through social media [Oeldorf-Hirsch et al. 2014].”
- Trick Me If You Can: Human-in-the-Loop Generation of Adversarial Examples for Question Answering (2018, neutral): “anding of the broad contexts present in book passages, while the Natural Questions corpus (Kwiatkowski et al.,2019) combs Wikipedia for answers to questions that users trust search engines to answer (Oeldorf-Hirsch et al., 2014). Other work focuses on natural language inference, where challenge exam”
- "I LOVE THIS SITE!" vs. "It's a little girly": Perceptions of and Initial User Experience with Pinterest (2015, background): “Oeldorf-Hirsch et al. [14] did a lab experiment studying when users routed questions to search engines or their social network, but this was a very focused topic and thus did not get at the kinds of general factors we are interested in. Hargittai and Hsieh studied use of multiple social sites…”