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Predictive modeling to study lifestyle politics with Facebook likes

Stiene Praet, Peter Van Aelst, Patrick van Erkel, Stephan Van der Veeken, David Martens
2021 EPJ Data Science  
In this study, we explore the value of Facebook "like" data to complement traditional survey data to study lifestyle politics.  ...  The results indicate that non-political Facebook likes are indicative of political preference and are useful to describe voters in terms of common interests, cultural preferences, and lifestyle features  ...  Acknowledgements The authors would like to thank Enago (www.enago.com) for the English language review and Dynata (www.dynata.com) for the survey panel data collection. Funding  ... 
doi:10.1140/epjds/s13688-021-00305-7 fatcat:d7nxpnehzzhhlongq2exkksv6a

MAKING THE UNSEEN VISIBLE: EXPLORING CROSSCUTTING SOCIAL MEDIA PUBLICS AND THEIR SOCIOPOLITICAL TRAITS

Jakob Bæk Kristensen
2019 Selected Papers of Internet Research, SPIR  
The study is based on a survey of 1697 Danish citizens whose responses are coupled with their public Facebook activity.This is used to make predictions about a selection of sociopolitical features for  ...  The interactions of the 50.000 users are modeled as a network and a clustering algorithm is used to find groups that arise naturally within said network.  ...  Using machine-learning models, the survey is used to make predictions about the voting intention, gender, age and geo-location of a random sample of 50.000 Facebook users between 2016 and 2018.  ... 
doi:10.5210/spir.v2019i0.10998 fatcat:aue4y2xmaffxteebsdtwdkrpim

Social Media-Addiction: Personality traits and human biology in the Facebook-age

Ulrich Kutschera
2019 Mental Health and Addiction Research  
The significance of these findings for the occurrence of Facebook-Addiction, mentioned in the Introduction is obvious [1] .  ...  Since humans are "evolved social animals", the ability to inspect intimate personality traits of conspecifics fulfills a psychological need for knowledge about the feelings and mood of other people [2  ...  This most recent study relates to the 2013 PNAS-paper referred to above, wherein a remarkable Facebook-Likes-prediction accuracy for gay vs. straight men of 88 % is documented [3] .  ... 
doi:10.15761/mhar.1000179 fatcat:v6wsbqam2bbxhpdveqs2ak5bia

Political consumerism: Civic engagement and the social media connection

Homero Gil de Zúñiga, Lauren Copeland, Bruce Bimber
2013 New Media & Society  
In this study we conceptualize political consumerism as a form of civic engagement, and we theorize that people who use social media are more likely to engage in political consumerism than those who do  ...  To address this debate, researchers have examined several predictors of political consumerism, but have not focused on its communicative dimensions, especially with respect to digital media.  ...  Our finding that women are more likely than men to engage in political consumerism is consistent with other studies, which show women are more likely than men to engage in political consumerism, perhaps  ... 
doi:10.1177/1461444813487960 fatcat:orxffwyj5zd5lpmsoe55xulwqa

Youth Online Political Participation: The Role of Facebook Use, Interactivity, Quality Information and Political Interest

Shamsu Dauda Abdu, Bahtiar Mohamad, Suhaini Muda, B. Mohamad, H. Abu Bakar
2017 SHS Web of Conferences  
Therefore, the study was implemented with survey questionnaires collected from youth in Bauchi metropolis (N= 372).  ...  The paper argues that Facebook use, interactivity, quality of information and political interests have the potential to engender online political participation among Nigerian youth.  ...  Studies have suggested that youth are now using Facebook to seek for political information, mobilize like minds, create user-generated content and share political views [15] [16] .  ... 
doi:10.1051/shsconf/20173300080 fatcat:7bji4olcwfbz5mi6i3c3vnxx2i

Data campaigning: between empirics and assumptions

Jessica Baldwin-Philippi
2019 Internet Policy Review  
The use of big data in political campaigns extends far beyond micro-targeting, and has been singled out by journalists and campaign staffers alike as a powerful force that is integral to electoral victory  ...  This article provides an overview of what we know (and don't yet know) about the effects of data-campaigning across various goals of political campaigns, alongside more public facing narratives that present  ...  Articles following Trump's surprising presidential victory in 2016 emphasised how integral Facebook data was to the campaign with headlines like "How He Used Facebook to Win" (Halpern, 2017) , and "The  ... 
doi:10.14763/2019.4.1437 fatcat:thffwvzcmvdepbwx2omh37s4ba

Enhancing Transparency and Control when Drawing Data-Driven Inferences about Individuals [article]

Daizhuo Chen, Samuel P. Fraiberger, Robert Moakler, Foster Provost
2016 arXiv   pre-print
Recent studies have shown that information disclosed on social network sites (such as Facebook) can be used to predict personal characteristics with surprisingly high accuracy.  ...  Applying the method to data from a large collection of real users on Facebook, we show that a user must cloak only a small portion of her Facebook Likes in order to inhibit inferences about their personal  ...  A recent study based on a survey of Facebook users found that users do not feel that they have the appropriate tools to mitigate their privacy concerns when it comes to social network data (Johnson et  ... 
arXiv:1606.08063v1 fatcat:kesqgq7phzccbhxbpfwrtiduxu

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations [article]

Matheus Araujo, Yelena Mejova, Ingmar Weber, Fabricio Benevenuto
2017 arXiv   pre-print
Across 47 countries, we compute the audiences of marker interests, and evaluate their potential in tracking health conditions associated with tobacco use, obesity, and diabetes, compared to the performance  ...  Every day, millions of users reveal their interests on Facebook, which are then monetized via targeted advertisement marketing campaigns.  ...  Recently, encouraging studies linked what people like on Facebook to behavioral aspects and interests in various health conditions [2, 4, 5, 7, 9, 18] . ese e orts suggest that Facebook data and, particularly  ... 
arXiv:1705.04045v1 fatcat:7hernadpabc5dazpct4u5uhbv4

Human Values and Attitudes towards Vaccination in Social Media [article]

Kyriaki Kalimeri, Mariano Beiro, Alessandra Urbinati, Andrea Bonanomi, Alessandro Rosino, Ciro Cattuto
2019 arXiv   pre-print
Here, administering a series of surveys via a Facebook-hosted application, we study the worldviews of people that "Liked" supportive or vaccine resilient Facebook Pages.  ...  This exploratory analysis aims at exploring the potentials of a social media platform to act as a sensing tool, providing researchers and policymakers with insights drawn from the digital traces, that  ...  They would like to thank all the participants in the cohort.  ... 
arXiv:1904.00691v1 fatcat:qdp7fvdoara3rkubzvkjfwnzra

Social media interventions for precision public health: promises and risks

Adam G. Dunn, Kenneth D. Mandl, Enrico Coiera
2018 npj Digital Medicine  
Social media data can be used with digital phenotyping tools to profile the attitudes, behaviours, and health outcomes of people.  ...  Similar tools are already used in marketing and politics, using individual profiling to manipulate purchasing and voting behaviours.  ...  The NHMRC played no role in the preparation of the manuscript, nor the decision to submit the manuscript for publication.  ... 
doi:10.1038/s41746-018-0054-0 pmid:30854472 pmcid:PMC6402501 fatcat:syjxbj4ucjhidgzn72u7u4lzhe

An Intelligent Fuzzy Rule-Based Personalized News Recommendation Using Social Media Mining

Saravanapriya Manoharan, Radha Senthilkumar
2020 Computational Intelligence and Neuroscience  
, and 100% with respect to users' interest categories.  ...  Furthermore, fresh news articles are retrieved from news feeds incorporated with retrieved viral news articles provided as recommendation with respect to users' diversified interest.  ...  MFIS model was applied to predict users' interest in the following categories, namely, business, entertainment, technology, and politics with respect to its CF and SSQ.  ... 
doi:10.1155/2020/3791541 pmid:32565771 pmcid:PMC7281826 fatcat:qt2y3csbxbccjbroj4fnt456he

Biases in the Facebook News Feed: a Case Study on the Italian Elections [article]

Eduardo Hargreaves and Claudio Agosti and Daniel Menasché and Giovanni Neglia and Alexandre Reiffers-Masson and Eitan Altman
2018 arXiv   pre-print
In addition, we found that the bias is non-negligible even for users that are deliberately set as neutral with respect to their political views.  ...  Facebook News Feed personalization algorithm has a significant impact, on a daily basis, on the lifestyle, mood and opinion of millions of Internet users.  ...  Black dots indicate model predictions of bias, obtained directly from the measurements together with equation (4) .  ... 
arXiv:1807.08346v1 fatcat:jrdzqsbtwfdw5d235wyonps2hy

Using deep-learning algorithms to derive basic characteristics of social media users: The Brexit campaign as a case study

Moreno Mancosu, Giuliano Bobba, Floriana Gargiulo
2019 PLoS ONE  
By employing a face-recognition algorithm to the profile pictures of Facebook users, the paper derives two fundamental demographic characteristics (age and gender) of a sample of Facebook users who interacted  ...  The findings show that the algorithm is reliable and that it can be fruitfully used in political and social sciences both to confirm the validity of survey data and to obtain information from populations  ...  Facebook has also been the subject of numerous studies addressing users' political participation and political preferences.  ... 
doi:10.1371/journal.pone.0211013 pmid:30682111 pmcid:PMC6347201 fatcat:yy5yk2mzfbbmzfcyt6ynlvwvii

e-Lifestyle Confirmatory of Consumer Generation Z

Tony Wijaya, Arum Darmawati, Andreas M
2020 International Journal of Advanced Computer Science and Applications  
Lifestyle is needed in determining market segments of consumer behavior. Lifestyle understanding in Generation Z is expected to provide valuable information in various fields of socio-economic life.  ...  Understanding lifestyles can be an ingredient in developing marketing strategies according to the intended segment, especially Generation Z, which has identified a lifestyle following information technology  ...  ACKNOWLEDGMENT The authors would like to thank Institute of Research and Community Service-UNY which funded this research.  ... 
doi:10.14569/ijacsa.2020.0111004 fatcat:6rumdqljwffcfprj223gwiq4si

Exploring the association between problem drinking and language use on Facebook in young adults

Davide Marengo, Danny Azucar, Fabrizia Giannotta, Valerio Basile, Michele Settanni
2019 Heliyon  
In the present study, we examined associations between language use on Facebook and problematic alcohol use.  ...  We found use of words about family, school, and positive feelings and emotions to be negatively associated with alcohol use and problematic drinking, while words suggesting interest in sport events, politics  ...  Additionally, and in contrast with previous studies employing similar automated approaches with other digital footprints (e.g., "likes" on Facebook, see Kosinski et al., 2013) , alcohol-related measures  ... 
doi:10.1016/j.heliyon.2019.e02523 pmid:31667380 pmcid:PMC6812202 fatcat:4eec4i546ba6bfzpnzhihmwe4q
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