Abstract:Despite growing interest in search engines in China, relatively few empirical studies have examined their sociopolitical implications. This study fills several research gaps by comparing query results (N = 6320) from China's two leading search engines, Baidu and Google, focusing on accessibility, overlap, ranking, and bias patterns. Analysis of query results of 316 popular Chinese Internet events reveals the following: (1) after Google moved its servers from Mainland China to Hong Kong, its results are equally… Show more
“…Meanwhile, several other contextual factors such as face-saving/giving, favor-seeking/giving, relationship (Guanxi) and sentiment (Renqing), and the centralized political system may also challenge the Western-dominated crisis communication practice and characterize a distinctive dialogue between organizations and publics on social media in crises Jiang, 2014). Rooted in Confucianism, the Chinese culture emphasized face (Mienzi), favor (enhui), relationship (Guanxi), and sentiment (Renqing).…”
Section: Contextual Factors Crisis Communication and Dialoguementioning
A B S T R A C TThe rapid diffusion of social media is ushering in a new era of crisis communication. To enhance our understanding of the social-mediated dialogue between organizations and their publics in crises of China, this study conducts a content analysis of 61 relevant journal articles published in 2006-2018. Results of this research present an overview of ongoing research trends such as theoretical frameworks and methodological preferences. This research also explores how the unique Chinese social media characteristics affect the dialogue between types of organizations and their publics. Contextual factors such as face and favor, relationship (Guanxi) and sentiment (Renqing), and the centralized political system that may facilitate/inhibit dialogue in crises of China are identified as well. Finally, this study suggests promising new directions such as a scholarly assessment tool for the social-mediated crisis communication research in China.
“…Meanwhile, several other contextual factors such as face-saving/giving, favor-seeking/giving, relationship (Guanxi) and sentiment (Renqing), and the centralized political system may also challenge the Western-dominated crisis communication practice and characterize a distinctive dialogue between organizations and publics on social media in crises Jiang, 2014). Rooted in Confucianism, the Chinese culture emphasized face (Mienzi), favor (enhui), relationship (Guanxi), and sentiment (Renqing).…”
Section: Contextual Factors Crisis Communication and Dialoguementioning
A B S T R A C TThe rapid diffusion of social media is ushering in a new era of crisis communication. To enhance our understanding of the social-mediated dialogue between organizations and their publics in crises of China, this study conducts a content analysis of 61 relevant journal articles published in 2006-2018. Results of this research present an overview of ongoing research trends such as theoretical frameworks and methodological preferences. This research also explores how the unique Chinese social media characteristics affect the dialogue between types of organizations and their publics. Contextual factors such as face and favor, relationship (Guanxi) and sentiment (Renqing), and the centralized political system that may facilitate/inhibit dialogue in crises of China are identified as well. Finally, this study suggests promising new directions such as a scholarly assessment tool for the social-mediated crisis communication research in China.
“…Likewise, and regarding the scope of content providers, one must also take into account their desire to be algorithmically recognizable (Gillespie, 2014;, applying SEO techniques to please algorithms and be chosen to hold the first ranking positions, which are the ones that receive the most views (Gonzalo-Penela, 2015;Lee, 2005). Due to the opacity with which Google protects its algorithms (Pasquale, 2015;Gillespie, 2017), it is not possible to know exactly the formula they use to order the results, but it is known that there is the influence of certain factors that make search results not global, although they may seem so (Jiang, 2014a;2014b).…”
Section: Dr Google: Biases and Effectsmentioning
confidence: 99%
“…Elements that influence the ranking are the language, the wording, the popularity of the site, the clicks (Jiang, 2014b). As for the popularity factor, which is very important, it also falls into the dynamics that, obviously, if the sites that receive the most visits are the first ones, with those visits they reinforce their popularity, following the rich-get-richer dynamics.…”
Section: Dr Google: Biases and Effectsmentioning
confidence: 99%
“…Any search engine, by ordering the webs and giving priority to some contents over others, already offers a biased view (Lewandowski, 2017;Rieder;Sire, 2014;Jiang, 2014b) or one of the multiple visions of the web (Koed-Madsen, 2016), but the factors taken into account by Google to personalize the search results constitute an extra bias that is invisible to the user. Haim; Graefe; Brosius (2018) indicate that this personalization, depending on the user's data, is present but that it does not isolate the subjects in a bubble, nor completely reduces the range of opinions.…”
The present work has been developed within the framework of the research project "Study and classification of natural, complementary and alternative therapies through media and social networks. Transference ideas and values applied to the social imaginary" (CSO2014-57778-R), financed by the Spanish Ministry of Science, Innovation and Universities and co-financed with the European Social Fund. How to cite this article: Cano-Orón, Lorena (2019). "Dr. Google, what can you tell me about homeopathy? Comparative study of the top10 websites in the United States, United Kingdom, France, Mexico and Spain". El profesional de la información, v. 28, n. 2, e280213.
“…Information technology (IT) is one of the most critical sectors globally (Guha & Chakrabarti, 2014). Information technology professionals play a crucial role in protecting the organization's sensitive data by shaping, maintaining, and implementing IT security measures (Jiang, 2014;Luftman & et al, 2013). However, the IT line of work is fraught with stress, which has been identified as a contributor to high employee turnover and lack of organizational commitment in the field (Lounsbury, Sundstrom, Levy, & Gibson, 2014;Padma & et al, 2015).…”
Drawing on personality traits theory (Costa & McCrae, 1985) and organizational commitment theory (Mowday, Steers & Porter, 1979), the purpose of the present study was to investigate, through four separate hierarchical regression procedures, the effect of a set of independent variables (neuroticism, gender, and generational age) on four separate dependent variables (DV): overall organizational commitment (OC), affective commitment (AC), continuance commitment (CC), and normative commitment (NC). The sample consisted of responses from 279 IT professionals in the United States, drawn from a national sample from the merged cross-sectional GSS 1972-2014 Cross-Sectional Cumulative Data, Release 5, March 24, 2016. Results of multiple regressions analyses revealed that, among IT professionals, neuroticism did not predict overall OC, AC, CC, or NC. Generational age predicted OC, AC, and CC with statistical significance. Gender predicted CC; none of the independent variables (IVs) predicted NC. Directions for future research are offered.
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