In Google We Trust: Users' Decisions on Rank, Position, and Relevance
By Bing Pan, Helene Hembrooke, Thorsten Joachims, Lori Lorigo, Geri Gay, Laura A. Granka. J. Comput. Mediat. Commun., 2007
768 citations recorded by the source corpus.
Subfields: Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/534c0ab8b234aed946e75f8bcdefa174f54c40ae
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems
- Nisheeth K. Vishnoi
- L. Elisa Celis
- R. Law
- Ericka Menchen-Trevino
- J. V. van Dijk
- Loizos Michael
- Jacques Savoy
- Zheng Xiang
In Sociology and Political Science
- Zheng Xiang
- R. Law
- J. V. van Dijk
- Bing Pan
- Daniel R. Fesenmaier
- A. V. van Deursen
- Joel Breakstone
- Mark D. Smith
Citations in the corpus
- A Framework of Search Engine Use for Travel Planning (2011, background): “This latter finding is consistent with the literature, which indicates that many people (approximately 50% of the respondents) limit their selection to the first page of search results and an additional 18% limit their search to 2 pages (Pan et al. 2007).”
- Trust Online: Young Adults' Evaluation of Web Content (2010, background): “Previous research has shown that users display considerable trust in certain search engines such as Google (Pan et al., 2007) although such work has largely been based on experimental methods and does not go so far as to consider users’ credibility assessment of results explicitly.”
- Fair Personalization (2017, background): “As over two-thirds of American adults consume news online on social media sites such as Facebook and Twitter [18], and users are more likely to trust higher ranked search results [20], the potential impact of changing how social media ranks content is immense.”
- Internet skills and the digital divide (2011, background): “…empirical studies that address a specific aspect, e.g., navigation (Ford and Chen, 2000), orientation (Ahuja and Webster, 2001), selecting search results (Aula and Nordhausen, 2006; Pan et al., 2007), defining search queries (Spink et al., 2001), or evaluating information (Moharan-Martin, 2004).”
- Can Students Evaluate Online Sources? Learning From Assessments of Civic Online Reasoning (2018, background): “Even when researchers manipulated search results so that the most relevant results were at the bottom of the page, students persisted in their tendency to select from the top few results (Pan et al., 2007).”
- Representation of the Online Tourism Domain in Search Engines (2008, result): “Thus, the tourism domain is largely based upon (i.e., represented by) the ranking and position of search results and is relatively small as compared to the total number of pages indexed by the respective search engines (Pan et al. 2007; Xiang and Fesenmaier 2005).”
- Algorithmic stemmers or morphological analysisq An evaluation (2009, result): “This bias of trusting the search engine is apparent even when the ordering of links has been altered to place possibly less useful links higher in the results listing (Pan et al., 2007).”
- The Complex Matter of Online Hotel Choice (2013, background): “Constructive decision making and cognitive load theories provide a theoretical basis for many studies in this area.”
- Lateral Reading and the Nature of Expertise: Reading Less and Learning More When Evaluating Digital Information (2019, background): “3 undergraduates ignored the valuable information contained in Google’s snippets (the few sentences accompanying each search result) and clicked instead on websites in higher positions even when those websites were less relevant (Pan et al., 2007).”
- Model-Based Purchase Predictions for Large Assortments (2016, background): “There is also clear evidence that such personalized configurations influence behavior (Ghose et al., 2014; Pan et al., 2007; Salganik et al., 2006).”
- Reading Into the Future: Competence for the 21st Century (2012, background): “…such aids as general search engines to provide direct delivery of answers, thereby allowing the user of information resources to go from question to answer with as few steps and as little reflection as possible (Garoufallou et al., 2008; Pan et al., 2007; Salmerón, Gil, Bråten, & Strømsø, 2010).”
- Write Like I Write: Herding in the Language of Online Reviews (2014, methodology): “Previous work showed that users presented with such a ranked list of items are unlikely to look past the first page of results; additionally, the time spent engaging each item decreases as one moves down the list (Pan et al. 2007).”
- Students’ Civic Online Reasoning: A National Portrait (2021, background): “Are they equipped to do so? Evidence suggests that young people, like many Americans, struggle to evaluate online sources (Gasser et al., 2012; Hargittai et al., 2010; Lurie & Mustafaraj, 2018; McGrew et al., 2018; Pan et al., 2007).”