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Google Shared. A Case-Study in Social Search [chapter]

Barry Smyth, Peter Briggs, Maurice Coyle, Michael O'Mahony
2009 Lecture Notes in Computer Science  
In this paper we describe a novel and practical approach to Web search that combines ideas from personalization and social networking to provide a more collaborative search experience.  ...  We described how this has been delivered by complementing, rather than competing with, mainstream search engines, which offers considerable business potential in a Google-dominated search marketplace.  ...  From Fig. 6 we can see that the sharing of search knowledge is not limited to to a small clique of especially social searchers.  ... 
doi:10.1007/978-3-642-02247-0_27 fatcat:2ewzua557vdqpbgcvi3dnwlh7m

Does Social Capital in Social Media Equate to Revenue?

Ehi E. Aimiuwu
2012 Americas Conference on Information Systems  
The primary audience for this case study is business students who are taking classes in e-commerce, Web 2.0, social media, online business, business strategy, and internet marketing.  ...  This case is about the effect of Facebook on Google AdSense revenue based on web content search.  ...  Now that Jim has all the result from the Facebook and Google AdSense study, he wonders if Bola's Facebook friends or social capital is worth the profit sharing partnership.  ... 
dblp:conf/amcis/Aimiuwu12a fatcat:3skwldpj2fc75fvi27autowlhe

Social Media Impact on Website Ranking [article]

Dushyant Vaghela
2014 arXiv   pre-print
in the search engine result pages.  ...  Since it is more difficult to tip the influence the search engines in this way.  ...  [5] In the current Google Social Search implementation, content shared by Facebook contacts receives preferential positions in the search engine results, as well as with a picture of the person who  ... 
arXiv:1408.0332v1 fatcat:mi2uo2eu2nduzkn4h5hvditdie

The Success of Google Search, the Failure of Google Health and the Future of Google Plus [chapter]

Marcel Landeweerd, Ton Spil, Richard Klein
2013 IFIP Advances in Information and Communication Technology  
In this paper, we explore factors associated with successful and unsuccessful adoption of Google products using a literature study in conjunction with qualitative analysis of the Google Search, Google  ...  Google, one of the biggest ecommerce companies in the world, despite huge successful products like Google Search, has also seen failures.  ...  So in the case of Google Plus, trust seems sufficient. Many studies used trust as a success factor, but few studies recognize the relationship to risk.  ... 
doi:10.1007/978-3-642-38862-0_14 fatcat:uqgtvfbrx5et5ellnei3al4lzm

Social Media Hype in Times of Crises: Nature, Characteristics and Impact on Organizations

Augustine Pang
2013 Asia Pacific Media Educator  
The online tools used were: Google trends-The statistics on Google search data traffic reflect stakeholders' interest in the crisis over a period of time.  ...  Based on the above discussion, this study thus seeks to examine: Stake (1995) defines case study as an examination of multiple cases to provide insight into a key phenomenon.  ... 
doi:10.1177/1326365x13517189 fatcat:4y27ftum3nfl7olpnucg3lwhx4

A story of (non)compliance, bias, and conspiracies: How Google and Yandex represented Smart Voting during the 2021 parliamentary elections in Russia

Mykola Makhortykh, Aleksandra Urman, Mariëlle Wijermars
2022 Harvard Kennedy School Misinformation Review  
On 3 September 2021, the Russian court forbade Google and Yandex to display search results for "Smart Voting," the query referring to a tactical voting project by the jailed Russian opposition leader Alexei  ...  To examine whether the two search engines complied with the court order, we collected top search outputs for the query from Google and Yandex.  ...  Third, while one might argue that, in the case of Smart Voting, Google search algorithms enabled a less censored selection of information, future cases may be less clear-cut.  ... 
doi:10.37016/mr-2020-94 fatcat:lqrki3dscverdhcvhcsrdzzooi

A google trends analysis: evaluation of the search frequency about alternative treatment methods during the COVID-19 pandemic in Turkey

Aybuke Demir Alsancak
2021 International Journal of Complementary & Alternative Medicine  
Objective: A rapidly grown up information about COVID-19 has been regularly broadcast on internet websites or social media.  ...  We investigated the Google research trends in searches of alternative treatment methods during the COVID-19 pandemic in Turkey.  ...  Mountain View, CA, USA) is a Google product used for demonstrating the frequency of searches on a topic at a specific time and place. 4 4] [5] [6] A recent study demonstrated that there was a positive  ... 
doi:10.15406/ijcam.2021.14.00551 fatcat:q23n5nidxrea7pcnsw4keokry4

Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic [article]

Mehak Fatima
2022 arXiv   pre-print
, as well as and the social media companies and search engines to address misinformation among the users in the emergent markets.  ...  In this work, we have analysed the electronic data generated by users from Pakistan on Google Search Engine and WhatsApp to understand their information-seeking behavior during the first wave of the pandemic  ...  A study found a strong correlation between COVID-19 related Google trends and daily new cases in the US, with R value around 0.80 [26] .  ... 
arXiv:2201.09526v1 fatcat:odkyzvr3hjfi5insj23srac5mi

Internet profiling: The economy of data intraoperability on Facebook and Google

Anja Bechmann
2013 MedieKultur: Journal of Media and Communication Research  
The article maps differences in the data strategies of the services and the potential data collected through a data point analysis, and suggests conceptual distinctions between vertical and horizontal  ...  data strategies, touch point and social network, integrated and diversified application programming interface (API) structures, and relevance and reputation data strategy perspectives.  ...  Acknowledgements The research was conducted with funding from Digital Humanities Lab in Denmark, and the author would like to thank anonymous reviewers, as well as former Google employee Mia Jung, and  ... 
doi:10.7146/mediekultur.v29i55.8070 fatcat:feoct6p3fbcc5fiyhfa736dx5e

Does SEO Matter? Increasing Classroom Blog Visibility through Search Engine Optimization

Sonya Zhang, Neal Cabage
2013 2013 46th Hawaii International Conference on System Sciences  
In this study, we discussed the reasons and benefits of moving classroom blogs to the public, and how Search Engine Optimization (SEO) strategies from industry can help increase classroom blog visibility  ...  We proposed a SEO approach and demonstrated how it could be applied to the design and implementation of classroom blogs for higher education through an empirical study.  ...  In the case of classroom blogs, if someone 'likes' or 'shares' a blog post on Facebook, or if he/she retweets a post on Twitter, these serve as social validation similar to how inbound links work.  ... 
doi:10.1109/hicss.2013.184 dblp:conf/hicss/ZhangC13 fatcat:txbzyequkfaqdc6aw7rsajpu5y

Predicting social distancing index during COVID-19 outbreak through online search engines trends [article]

Paulo Cardoso Lins Filho, Jaciel Leandro de Melo Freitas, Millena Mirella Silva de Araujo, Thuanny Silva de Macedo, Andressa Kelly Alves Ferreira, Maria Cecilia Freire de Melo, Elizabeth Louisy Marques Soares da Silva, Arnaldo de Franca Caldas
2020 medRxiv   pre-print
This study aimed to explore the potential use of Google and YouTube relative search volume to predict social distancing index in Brazil during COVID-19 outbreak and verify the correlation between social  ...  Multiple linear regression was performed and resulted in a statistically significant model evidencing that Google and YouTube relative search volumes are predictors of the social distancing index.  ...  Internet 32 query platforms, which allows to interact with internet-based data, have been considered Methods 75 In Brazil, the current market share of Google among the search engines is over 97%  ... 
doi:10.1101/2020.05.28.20115816 fatcat:kpbk3xbabvarvdbxyjyrslbxcu

The Collaborative Economy Based Analysis of Demand: Study of Airbnb Case in Spain and Portugal

Pedro R. Palos-Sanchez, Marisol B. Correia
2018 Journal of Theoretical and Applied Electronic Commerce Research  
The case studied is very representative of this economic model, even though there is a large number of lesser-known websites.  ...  Finally, the results corroborate previous studies that defend that tools for studying trends and correlations of search terms are techniques that help decision making in studies and market research.  ...  term has a high correlation with the term studied, Snapchats and Youtubers, which are the social networks that appears in Google Insights for Search.  ... 
doi:10.4067/s0718-18762018000300105 fatcat:glrrsuv5lfby5cwd4kkcwy2jd4

Social Media data: Challenges, opportunities and limitations in urban studies

Pablo Martí, Leticia Serrano-Estrada, Almudena Nolasco-Cirugeda
2019 Computers, Environment and Urban Systems  
A B S T R A C T Analysing the city through data retrieved from Location Based Social Networks (LBSNs) has received considerable attention as a promising method for applied research.  ...  A comprehensive and descriptive framework for the study of urban phenomena through LBSN data is the main contribution of this study.  ...  Specifically, this study takes the case of a web-based application that retrieves data from Foursquare, Google Places, Twitter and Instagram: SMUA -Social Media Urban Analyser-.  ... 
doi:10.1016/j.compenvurbsys.2018.11.001 fatcat:gnp6mekkqvc5razbvyqe5px26u

Insights into co-located shared mobile search

Sofia Reis, Karen Church
2013 CHI '13 Extended Abstracts on Human Factors in Computing Systems on - CHI EA '13  
Recently, the use of mobile search among co-located groups to satisfy casual, shared information needs has grown in popularity.  ...  In this paper we describe a proofof-concept research prototype, which is designed to enhance such social experiences by providing an easy means of interacting with and sharing mobile Web content among  ...  Shared pages classified in the Google category relate to screenshots of the Google mobile search homepage.  ... 
doi:10.1145/2468356.2468606 dblp:conf/chi/ReisC13 fatcat:2i2ikertmvartbgg4o2tjliave

2SRM: Learning social signals for predicting relevant search results

Ismail Badache
2020 Web Intelligence: an international journal  
This paper presents 2SRM (Social Signals Relevance Model), an approach of IR which takes into account social signals (users' actions) as an additional information to enhance a search.  ...  In this paper, we first study the impact of each such signal on retrieval performance. Next, some social properties such as popularity, reputation and freshness are quantified using several signals.  ...  In this study, social signals: bookmark, share (LIn) are the less important criteria followed by +1.  ... 
doi:10.3233/web-200426 fatcat:rmr7opnpqzgpnce54rxexxomlq
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