scholarly journals Are Bibliographic Management Software Search Interfaces Reliable?: A Comparison between Search Results Obtained Using Database Interfaces and the EndNote Online Search Function

2010 ◽  
Vol 36 (2) ◽  
pp. 144-150 ◽  
Author(s):  
Megan Fitzgibbons ◽  
Deborah Meert
Author(s):  
Robin Blom

Whereas some news outlets fully identify crime suspects with name, age, address, and other personal details, other news outlets refuse to fully identify any crime suspect—or even people who have been convicted for a crime. News media from a variety of countries have accused and fully identified people of being responsible for crimes, although those persons turned out to be innocent. Yet, when someone types the names of those people in online search engines, for many, stories containing the accusations will turn up at the top of the search results. This chapter examines the positive and negative aspects from those practices by examining journalistic routines in a variety of countries, such as the United States, Nigeria, and The Netherlands. This analysis demonstrates that important ethical imperatives—often represented in ethics codes of professional journalism organizations—can be contradictory in these decision-making processes. Journalists need to weigh whether they would like to “seek truth and report it” or “minimize harm” when describing crime suspects.


Author(s):  
Ke Yu ◽  
Nazeem Mustapha ◽  
Nadeem Oozeer

This chapter investigates the allegation that popular online search engine Google applies algorithms to personalise search results therefore yielding different results for the exact same search terms. It specifically examines whether the same alleged filter bubble applies to Google's academic product: Google Scholar. It reports the results from an exploratory experiment of nine keywords carried out for this purpose, varying variables such as disciplines (Natural Science, Social Science and Humanities), geographic locations (north/south), and levels (senior/junior researchers). It also reports a short survey on academic search behaviour. The finding suggests that while Google Scholar, together with Google, has emerged as THE dominant search engine among the participants of this study, the alleged filter bubble is only mildly observable. The Jaccard similarity of search results for all nine keywords is strikingly high, with only one keyword that exhibits a localized bubble at 95% level. This chapter therefore concludes that the filter bubble phenomenon does not warrant concern.


2014 ◽  
Vol 57 ◽  
pp. 454-462 ◽  
Author(s):  
Brent Kitchens ◽  
Christopher A. Harle ◽  
Shengli Li

2020 ◽  
pp. 354-372
Author(s):  
Robin Blom

Whereas some news outlets fully identify crime suspects with name, age, address, and other personal details, other news outlets refuse to fully identify any crime suspect—or even people who have been convicted for a crime. News media from a variety of countries have accused and fully identified people of being responsible for crimes, although those persons turned out to be innocent. Yet, when someone types the names of those people in online search engines, for many, stories containing the accusations will turn up at the top of the search results. This chapter examines the positive and negative aspects from those practices by examining journalistic routines in a variety of countries, such as the United States, Nigeria, and The Netherlands. This analysis demonstrates that important ethical imperatives—often represented in ethics codes of professional journalism organizations—can be contradictory in these decision-making processes. Journalists need to weigh whether they would like to “seek truth and report it” or “minimize harm” when describing crime suspects.


Author(s):  
Bill D. Herman

The volume of information on the Internet is incomprehensible and growing exponentially. With such a vast ocean of information available, search engines have become an indispensible tool for virtually all users. Yet much of what is available online is potentially objectionable, controversial, or harmful. This leaves search engines in a potentially precarious position, simultaneously wanting to maximize the usefulness of results for end users while also minimizing political, regulatory, civil, and even criminal difficulties in the jurisdictions where they operate. Conversely, the substantial logistical and legal obstacles to regulating Internet content also leave policymakers in an unenviable position, and content that the public or policymakers may well want regulated—even that which is patently illegal—can remain virtually impossible to stamp out. The policies that may affect online search are incredibly varied, including contract law, laws that affect expression and media producers more generally, copyright, fraud, privacy, and antitrust. For the most part, the law that applies was developed in and will still apply to offline contexts as well. Internet search is still an area filled with its own vexing policy questions. In many cases, these are questions of secondary liability—addressing whether the search provider is liable for search results that link to websites that are beyond their control. In other areas, though, the behavior of search providers will endure specific scrutiny. While many of these questions could be or actually are asked in countries around the world, this article focuses primarily on the legal regimes in the United States and the European Union.


2019 ◽  
Vol 11 (1) ◽  
pp. 49-67
Author(s):  
Karen L. Xie ◽  
Young Jin Lee

Purpose When shopping for hotels online, consumers usually follow a sequential process of search, click-through and book. How to maximize consumer conversion on the path to purchase and prevent potential customers from giving up the online search remains an important topic to hotel marketers and online travel agents (OTAs). The purpose of this study is to understand how informational cues displayed in an online hotel search process, including quality indicators, brand affiliation, incentives (discounted price and promotion) and position in the search results, influence consumer conversion from one stage to another. Design/methodology/approach The authors collected clickstream data of hotel search from Expedia. The data include information on individual consumers’ click-through and booking, as well as events leading up to the conversions (or failure to convert) from search, click-through to book. It contains 940,164 hotels searched and displayed in 39,574 online search queries made by users in a regional US market between November 1, 2012 and June 20, 2013. The modeling strategy comprised the Heckman model and random effects model, which integrated sequential consumer behavior in different problem-solving stages while accounting for heterogeneity across different hotels online. Findings The authors find that consumers rely on informational cues displayed online to make decisions about hotel booking. Specifically, consumers tend to click through hotels with higher consumer-generated ratings and industry-endorsed ratings. However, they tend to rely on consumer-generated ratings rather than industry-endorsed ratings when committing to a booking. Moreover, consumers are strongly responsive to incentives (discounted price and promotion) when clicking-through and booking a hotel. Finally, the likelihood of consumer conversions from search to click-through and booking is higher for hotels with brand affiliation and higher positions in the search results. Originality/value This research provides critical managerial implications of online search for hotel marketers and OTAs. The results inform hotel marketers and OTAs on how consumers respond to informational cues displayed in their search process and how these informational cues influence consumer conversion from one stage to another. The sequential problem-solving process of search, click-through and booking disclosed in this study also helps hotel marketers to identify customer conversion opportunities using effective informational cues.


2009 ◽  
Vol 73 (4) ◽  
pp. 125-141 ◽  
Author(s):  
Jianqing Chen ◽  
De Liu ◽  
Andrew B. Whinston

Keyword advertising, or “sponsored links” that appear alongside online search results or other online content, has grown into a multibillion-dollar market. Providers of keyword advertising, such as Google and Yahoo, profit by auctioning keywords to advertisers. An issue of increasing importance for advertising providers is the “share structure” problem—that is, of the total available resources for each keyword (in terms of exposure), how large a share should be set aside for the highest bidder, for the second-highest bidder, and so on. The authors study this problem under a general specification and characterize the optimal share structures that maximize advertising providers’ revenues. They also derive results on how the optimal share structure should change with advertisers’ price elasticity of demand for exposure, their valuation distribution, total resources, and minimum bids. The authors draw implications for keyword auctions and other applications.


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