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Crime and social media
Asongu, Simplice; Nwachukwu, Jacinta C.; Orim, … - 2019
examining the relationship between Facebook penetration and violent crime levels in a cross-section of 148 countries for the … regressions, there is a negative relationship between Facebook penetration and crime. However, Quantile regressions reveal that … the established negative relationship is noticeable exclusively in the 90 th crime quantile. Further, when the dataset is …
Persistent link: https://www.econbiz.de/10012112154
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Homicide and social media : global empirical evidence
Asongu, Simplice; Uduji, Joseph I.; Okolo-Obasi, Elda N. - 2019
This study investigates the relationship between social media and homicide in a cross section of 148 countries for the year 2012. The empirical evidence is based on Ordinary Least Squares, Tobit and Quantile regressions. The findings from Ordinary Least Squares and Tobit regressions show a...
Persistent link: https://www.econbiz.de/10012058452
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Crime and Social Media
Asongu, Simplice; Nwachukwu, Jacinta C.; Orim, Stella-Maris - 2019
examining the relationship between Facebook penetration and violent crime levels in a cross-section of 148 countries for the … OLS and Tobit regressions, there is a negative relationship between Facebook penetration and crime. However, Quantile … regressions reveal that the established negative relationship is noticeable exclusively in the 90th crime quantile. Further, when …
Persistent link: https://www.econbiz.de/10014108720
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Homicide and social media: Global empirical evidence
Asongu, Simplice; Uduji, Joseph I.; Okolo-Obasi, Elda N. - 2019
This study investigates the relationship between social media and homicide in a cross section of 148 countries for the year 2012. The empirical evidence is based on Ordinary Least Squares, Tobit and Quantile regressions. The findings from Ordinary Least Squares and Tobit regressions show a...
Persistent link: https://www.econbiz.de/10012112217
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Co-Diffusion of Technologies in Social Networks
Lazzati, Natalia - 2018
This paper studies the diffusion process of two complementary technologies among people who are connected through a social network. It characterizes adoption rates over time for different initial allocations and network structures. We are particularly interested in the following question:...
Persistent link: https://www.econbiz.de/10012915838
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Naϊve learning in social networks with fake news : bots as a singularity
Badri, Saeed; Heidergott, Bernd; Lindner, Ines - 2022
We study the impact of bots on social learning in a social network setting. Regular agents receive independent noisy signals about the true value of a variable and then communicate in a network. They na¨ıvely update beliefs by repeatedly taking weighted averages of neighbors' opinions. Bots...
Persistent link: https://www.econbiz.de/10013472296
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Technologies follow technologies and occasionally social groups
Hübler, Michael; Bühler, Dorothee Christine - 2023
An innovative model describing the convergence of technology use at the micro level is introduced. ICT (information and …- istics, such as income, education, technologies and occupation. ICT ownership and the socioeconomic characteristics are …-type regressions show that better education and existing technologies unequivocally enhance convergence of ICT ownership among …
Persistent link: https://www.econbiz.de/10014428145
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Essays in the economics of digital transformation
Goldbeck, Moritz - 2024
Persistent link: https://www.econbiz.de/10014632431
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Combating online hate speech : the impact of legislation on Twitter
Andres, Raphaela; Slivko, Olga - 2021
We analyze the impact of the Network Enforcement Act, the first regulation which aims at restraining hate speech on large social media platforms. Using a difference-in- differences framework, we measure the causal impact of the German law on the prevalence of hateful content on German Twitter....
Persistent link: https://www.econbiz.de/10012793677
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Trust and manipulation in social networks
Förster, Manuel; Mauleon, Ana; Vannetelbosch, Vincent J. - 2014
We investigate the role of manipulation in a model of opinion formation. Agents repeatedly communicate with their neighbors in the social network, can exert effort to manipulate the trust of others, and update their opinions about some common issue by taking weighted averages of neighbors'...
Persistent link: https://www.econbiz.de/10010357991