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2005 - American Sociological Association Pages: 21 pages || Words: 7310 words || 
1. Turney, Kristin. "Search Mismatch: An Exploratory Analysis of Job Search Strategies Among Low-Income Black Women" Paper presented at the annual meeting of the American Sociological Association, Marriott Hotel, Loews Philadelphia Hotel, Philadelphia, PA, Aug 12, 2005 Online <PDF>. 2020-02-25 <>
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: Although the establishment of the Personal Responsibility and Work Opportunity Reconciliation Act of 1996 put pressure on individuals to find work, urban poverty rates remain high and many low-income women have a difficult time establishing labor market attachment. The four traditionally posited explanations for the persistence of urban poverty – skills mismatch, spatial mismatch, supply-side theories, and demand-side theories – often do not take into account the ways that low-income women search for employment, a process that has tremendous implications for job satisfaction and self-sufficiency. This qualitative analysis examines 169 interviews with Baltimore and Chicago low-income black women to explore job search strategies. These data reveal that a search mismatch exists between employed and unemployed women; employed women are most likely to use social networks when searching for employment, and unemployed women are most likely to rely on more formal, unsuccessful methods of job hunting that include direct application. Social networks only help this sample of low-income Baltimore and Chicago black women find jobs if one or more of the following conditions are met: the individual has adequate levels of human capital, the job conditions match the individual’s preferences for employment, or the individual exhibits persistence in securing employment.

2006 - International Communication Association Pages: 35 pages || Words: 8535 words || 
2. Jeong, Yongick. and Mahmood, Reaz. "How Different Are Your Search Terms from Mine? Political, Socio-Economic, and Cultural Approaches to Understanding Worldwide Internet Search Queries" Paper presented at the annual meeting of the International Communication Association, Dresden International Congress Centre, Dresden, Germany, Online <PDF>. 2020-02-25 <>
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: Using quantitative content analysis, this study examines Internet search term patterns from various countries included on Google Zeitgeist in the display of its top ten lists. The lists of the most popular search terms from the countries were examined within the context of political differences (free, partially free, and not free), socioeconomic differences (high SES, medium SES, and low SES), and cultural differences (masculine country, mixed/neutral country, and feminine country, based on the cultural gender index of Hofstede).

2014 - AAAL Annual Conference Words: 36 words || 
3. Hasegawa, Atsushi. "Searching for What to Say Next: A Conversation Analytic Study of “Content Search” in Pair Interaction" Paper presented at the annual meeting of the AAAL Annual Conference, Portland Marriott Downtown Waterfront, Portland, OR, Mar 22, 2014 <Not Available>. 2020-02-25 <>
Publication Type: Poster
Review Method: Peer Reviewed
Abstract: I present and discuss the practice of content search, observed in Japanese language classrooms. By engaging in content search, learners are reflexively constructing their identities as “doing being a guinea pig” (Wagner, 1998) during pair work.

2009 - International Communication Association Pages: 25 pages || Words: 4895 words || 
4. Vermeulen, Ivar. and Bruggeman, Jeroen. "In Search of a Niche: Differentiation Among Internet Search Engines, 1993-2000" Paper presented at the annual meeting of the International Communication Association, Marriott, Chicago, IL, May 20, 2009 Online <PDF>. 2020-02-25 <>
Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
Abstract: Search engines are the principal parties mediating information flows between online information providers and Internet users worldwide. As a result, search engines have an increasing impact on the distribution of, e.g., commercial, political, and health-related information. Currently, Google dominates the search engine industry, and scholars have expressed concerns regarding its all-too-powerful position as “gatekeeper” of the Web. A more differentiated search engine industry would be preferable, as societal influence would then be distributed over more actors. To explore circumstances that could facilitate more differentiation, this study reviews the competitive dynamics in the search engine industry from its inception, in 1993, to 2000. It particularly focuses on the period 1996-2000, which showed a sudden inflow of new, mostly specialized, search engines. We propose organization ecology, a theoretical approach neighbouring evolutionary economics, as a possible explanation for the observed market dynamics. Organization ecology argues that in concentrated markets, generalists are forced to focus on the market core, which inevitably goes at the cost of their more peripheral interests. This, in turn, creates opportunities for new firms to enter the market. To test this theory, we analyzed micro- and macro-level competitive processes in a population of 137 international search engines, measured for each quarter year, over seven years. Results suggest that the inflow of new search engines indeed coincided with (1) intensified competition between large generalists (e.g. Altavista, Infoseek, Hotbot), and (2) declining competitive pressure in the market periphery. As a result, conditions for new search engines to enter the market improved.

2008 - International Communication Association Pages: 26 pages || Words: 9439 words || 
5. van Atteveldt, Wouter., Ruigrok, Nel., Schlobach, Stefan., van Harmelen, Frank. and Kleinnijenhuis, Jan. "Searching the News: Using an Ontology With Timebound Roles to Search Through Annotated Newspaper Archives" Paper presented at the annual meeting of the International Communication Association, TBA, Montreal, Quebec, Canada, May 21, 2008 Online <APPLICATION/PDF>. 2020-02-25 <>
Publication Type: Conference Paper/Unpublished Manuscript
Abstract: Abstract. A frequent motivation for annotating documents using ontologies is to allow
more efficient search. For collections of newspaper articles, it is often difficult to find
specific articles based on keywords or topics alone. This paper describes a system that uses a
formalisation of the content of newspaper articles to answer complex queries. The data for
this system is created using Relational Content Analysis, a method used in Communication
Sciences in which documents are annotated using a rich annotation scheme based on an on-
tology that includes political roles with temporal validity. Using custom inferencing over the
temporal relations and query translation, our system can be used to search for and browse
through newspaper articles and to perform systematic analyses by evaluating queries against
all articles in the corpus. This makes the system useful both for the (Social) Scientist and
for interested laypersons.

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