Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites

2015 ◽  
Vol 659 (1) ◽  
pp. 63-76 ◽  
Author(s):  
Eszter Hargittai
Keyword(s):  
Socioeconomic Status ◽  
Big Data ◽  
Social Network ◽  
Survey Data ◽  
Social Network Sites ◽  
Biased Sampling ◽  
Methodological Challenges ◽  
Internet Skills ◽  
The Social ◽  
Race Ethnicity

This article discusses methodological challenges of using big data that rely on specific sites and services as their sampling frames, focusing on social network sites in particular. It draws on survey data to show that people do not select into the use of such sites randomly. Instead, use is biased in certain ways yielding samples that limit the generalizability of findings. Results show that age, gender, race/ethnicity, socioeconomic status, online experiences, and Internet skills all influence the social network sites people use and thus where traces of their behavior show up. This has implications for the types of conclusions one can draw from data derived from users of specific sites. The article ends by noting how big data studies can address the shortcomings that result from biased sampling frames.

Civic Participation and Social Embeddedness: Differences Between Urban and Rural Communities

2021 ◽  
Vol 3 (1) ◽  
pp. 45-67
Author(s):  
Tuuli-Marja Kleiner
Keyword(s):  
Social Network ◽  
Rural Communities ◽  
Survey Data ◽  
Rural Areas ◽  
Urban Areas ◽  
Civic Participation ◽  
Regional Level ◽  
Social Embeddedness ◽  
The Social ◽  
Multi Level

Does civic participation lead to a large social network? This study claims that high levels of civic participation may obstruct individual social embeddedness. Using survey data from the German Survey on Volunteering (Deutscher Freiwilligensurvey; 1999–2009), this study conducts macro- as well as multi-level regressions to examine the link between civic participation and social embeddedness. Findings reveal that civic participation on the sub-national regional level is not generally associated with social embeddedness, but it affects the participants’ and non-participants’ possibilities for friendships differently. This holds especially true in urban areas, but the effect cannot be found in rural areas. The analysis has implications for further research to enhance the social embeddedness of the excluded.

scholarly journals Political Humour in the Social Network Sites

2018 ◽  
Vol 6 (1) ◽  
pp. 70
Author(s):  
Ayşe Aslı Sezgin
Keyword(s):  
Social Network ◽  
Political Communication ◽  
Social Network Sites ◽  
The United States ◽  
Political Processes ◽  
Political Events ◽  
Political Views ◽  
The Social ◽  
Shared Social Values ◽  
The Arab Spring

“Social network sites” first began to be used as new tools of political communication during the 2008 Presidential Election in the United States, and their importance became even more apparent during the Arab Spring. In the course of this, the social network sites became a new and widely discussed channel of communication. In addition to its ability to bring together people from different parts of the world by removing any time and space barriers, creates a virtual network that allows individuals with shared social values to take action in an organized manner. Furthermore, this novel, versatile and multi-faceted tool of political communication has also provided a new mean for observing various aspects of social reactions to political events. Instead of voters expressing their political views through their votes from one election to the other, we nowadays have voters who actively take part in political processes by instantly demonstrating their reactions and by directly communicating their criticisms online.

scholarly journals Determining the proximity of groups in social networks based on text analysis using big data

2019 ◽  
pp. 521-526
Author(s):  
A S Mukhin ◽  
I A Rytsarev ◽  
R A Paringer ◽  
A V Kupriyanov ◽  
D V Kirsh
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Data Collection ◽  
Text Analysis ◽  
Software Tool ◽  
Text Data ◽  
The Social ◽  
Information Research ◽  
Definition Of

The article is devoted to the definition of such groups in social networks. The object of the study was selected data social network Vk. Text data was collected, processed and analyzed. To solve the problem of obtaining the necessary information, research was conducted in the field of optimization of data collection of the social network Vk. A software tool that provides the collection and subsequent processing of the necessary data from the specified resources has been developed. The existing algorithms of text analysis, mainly of large volume, were investigated and applied.

Online vrienden bepalen de overtuigingskracht van SNS-campagnes

2011 ◽  
Vol 39 (4) ◽  
Author(s):  
Guda van Noort ◽  
Marjolijn Antheunis ◽  
Eva van Reijmersdal
Keyword(s):  
Social Network ◽  
Social Context ◽  
Crucial Role ◽  
Social Network Sites ◽  
Social Connections ◽  
Social Connection ◽  
Marketing Communication ◽  
The Social

Online Friends Determine the Persuasiveness of SNS Advertising Campaigns Online Friends Determine the Persuasiveness of SNS Advertising Campaigns Marketers more and more design advertising campaigns especially for Social Network Sites (SNS), with the aim that SNS users forward these campaigns to their online network. By means of a survey, this study investigates whether the persuasiveness of such campaigns is determined by the strength of the social connection between receiver and the sender of the campaign. The results support the idea that SNS campaigns are more persuasive when forwarded by close friends, than when forwarded by less strong social connections. Thus, the social context plays a crucial role in the persuasiveness of marketing communication activities within SNS.

When Our Changing Society Meets the Social Media Era

2014 ◽  
pp. 1102-1112
Author(s):  
Efi A. Nisiforou ◽  
Andrew Laghos
Keyword(s):  
Social Media ◽  
Social Network ◽  
Technology Use ◽  
Social Network Sites ◽  
International Literature ◽  
Future Directions ◽  
The Social ◽  
Media Services ◽  
Media Research ◽  
Social Media Research

The rapid growth and the popularity of Social Network Sites (SNSs) are increasingly attracting the attention of millions of students for many different purposes. The chapter reviews the background of the current social media research in relation to the international literature and tackles the most important findings. The practical part of the chapter outlines the results of a survey on social media services. The findings provide real research evidence on online social technology use amongst university students. The chapter has educational and theoretical significance and shapes future directions for research on this issue. A compendium of terms, definitions, and explanations of concepts is clearly explained.

scholarly journals Analysis of Cultural Meme Characteristics for Big Data of Cultural Relics

Information ◽  
2020 ◽  
Vol 11 (12) ◽  
pp. 584
Author(s):  
Haifeng Li ◽  
Zuoqin Shi ◽  
Li Chen ◽  
Zhenqi Cui ◽  
Sumin Li ◽  
...  
Keyword(s):  
Big Data ◽  
Social Network ◽  
Word Segmentation ◽  
Historical Background ◽  
Analysis Method ◽  
Cultural Characteristics ◽  
The Social ◽  
Similarities And Differences ◽  
Merging Method ◽  
Cultural Relics

The cultural meme is the smallest unit constituting a dynasty′s culture, which has the same inheritance and variability as biological genes. Here, based on the name of cultural relics, we extract cultural memes through semantic word segmentation, word frequency statistics, and the synonym merging method, and construct dynasty cultural meme vectors. We analyzed color, auxiliary, texture, shape, and overall networks of five types of model to construct the culture network, using the social network analysis method, and explored the clustering and degrees of centrality characteristics of cultural memes. We then analyzed the similarities and differences among cultures of the dynasties. The main conclusions are as follows: (1) Cultural memes represent different cultural characteristics of dynasties, and the inheritance and differences among dynasties’ cultures are closely related to their historical background. (2) Prevalence memes construct the cultural label of dynasties, which can roughly restore the cultural appearance of dynasties through fewer prevalence memes. (3) The use of community detection with a cultural meme network can determine the clustering of dynasties′ cultures, and the degree of centrality further reflects the main cultural characteristics presented by successive dynasties.

scholarly journals A Field Study on Matching with Network Externalities

2012 ◽  
Vol 102 (5) ◽  
pp. 1773-1804 ◽  
Author(s):  
Mariagiovanna Baccara ◽  
Ayşe İmrohoroğlu ◽  
Alistair J Wilson ◽  
Leeat Yariv
Keyword(s):  
Social Network ◽  
Field Study ◽  
Survey Data ◽  
Network Externalities ◽  
Relative Influence ◽  
Institutional Affiliation ◽  
Assignment Problems ◽  
The Social

We study the effects of network externalities within a protocol for matching faculty to offices in a new building. Using web and survey data on faculty's attributes and choices, we identify the different layers of the social network: institutional affiliation, coauthorships, and friendships. We quantify the effects of network externalities on choices and outcomes, disentangle the layers of the networks, and quantify their relative influence. Finally, we assess the protocol used from a welfare perspective. Our study suggests the importance and feasibility of accounting for network externalities in assignment problems and evaluates techniques that can be employed to this end. (JEL C78, C93, D62, D85, Z13)

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