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Google Yourself! Measuring the performance of personalized information resources

Type
conference paper
Date Issued
2008-10-15
Author(s)
Nicolai, Thomas
;
Kirchhoff, Lars
;
Bruns, Axel
;
Wilson, Jason
;
Saunders, Barry
Abstract (De)
Narcissism is generally perceived as a growing social phenomenon in our society (Kopelman 1984; Mullins et al. 1984; Nelson 1977), as Lasch puts in his widely cited book "Culture of Narcissism" (1991). Recent technology shifts have yet again started a discussion about the increase of narcistic behaviour in western culture. Among these technology shifts are technologies that enable social interaction in general, and social networking sites in particular (Halavais 2007). In spite of any possible negative connotations of this phenomenon, narcissism can also be seen as a functional and healthy personal strategy for making sense of our increasingly fast and techno-oriented world. According to this argument, narcissism can be considered as a cultural and social entity (Emmons 1987; Mullins et al. 1984). The most specific definition is proposed by Raskin et al. (1981; 1988; 1979) and their development of an empirical method, the Narcissistic Personality Inventory, which measure the level of narcissism. However, most definitions can be summarized as a self-focussed concentration of the attention of an individual.
The practice described as »Self-Googling« can be seen as a form of narcissism, which may help to explain the phenomenon of people searching and browsing the Web for information about themselves. Egosurfing, Egogoogling, Self-Marketing or Vanity Searching are different names for the same "practice of harnessing the Internet's vast data-collection powers to dig up information about oneself," as Glasner (2001) puts it. In addition to using the theory of narcissism to explain the »Self-Googling« phenomenon, however, this practice can also be seen as a social construction of personal reputation in terms of Self-Marketing (Lampel et al. 2007).
There have been previous attempts to explain and analyse the search behaviour of users, which fall into three distinct categories: (1) those that primarily use transaction-log analysis, (2) those that involve users in a laboratory survey or other experimental setting, and (3) those that examine issues related to or affecting Web searching (Jansen et al. 2006; Spink et al. 2004). Our research methodology and the presented results clearly belong to the first category. However, none of the previous attempts made an explicit differentiation between generic search term keywords and personal names. Only a vague category of "people, places or things" has previously been analysed by Jansen et al. (2006) showing a growth of search terms in that category from 21.5% of all search terms in 2001 to 41.5% in 2002.
This paper addresses this gap in the available research by more specifically comparing search and click-through trends for personalised information resources (Web pages and sites which refer specifically to individual persons, and whose URIs include a version of the person's name) and non-personalised information resources (pages and sites which are not name-specific, and have more generic URIs). In particular, it examines whether generic search terms or personal names as search terms produce a better click-through performance. This throws new light on the »Self-Googling« phenomenon and provides a basis for further research.

Note: This article has lately been also featured featured by the [http://www.time.com/time/business/article/0,8599,1893965,00.html Time Magazine] regarding the new Self-Googling Tool at Google.
Language
German
Keywords
self-googling
narcissism
social interaction
reputation
HSG Classification
contribution to scientific community
Refereed
Yes
Event Title
Internet Research 9.0: Rethinking Community, Rethinking Place
Event Location
Copenhagen
Event Date
15.-18.10.2008
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/77786
Subject(s)

information managemen...

Division(s)

ACA - Institute of Ac...

Eprints ID
44464
File(s)
Thumbnail Image
Name

Google Yourself! Measuring the performance of personalized information resources.pdf

Size

228.17 KB

Format

Adobe PDF

Checksum (MD5)

74a4aa4bf05654293d32488ace2ed15a

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