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The effects of likes on public opinion perception and personal opinion
Drawing on the spiral of silence theory and heuristic information pro- cessing, we contend that individuals use likes as sources for assessing public opinion. We further argue that individuals may even adapt their personal opinions to the tenor reflected in those cues. The assumptions were tested using data from an experiment involving 501 participants, who encountered media items on two issues with or without likes. The findings show that respondents inferred public opinion from the media bias if it was supported by likes, however, only in cases of high levels of fear of social isolation. Respondents further adapted their personal opinion to the media bias if it was supported by likes
The Relevance of Students' Digital Media Behaviour and Self-Efficacy for Academic Achievement in View of their Socio-Economic Background
Research suggests a link between students’ social background, e.g. educational background of parents, academic self-efficacy expectations and study behaviour. Often, lower academic achievement is expected of those students’ whose parents are characterized by lower educational background. Although digital media are prevalent in several areas of everyday life, their relevance for academic achievement is not satisfactorily explored. Furthermore, it remains largely unknown in this context whether media usage is related to social background factors. In consequence, it is important to investigate if existing inequalities in higher education are stable, further enhanced or even reduced by means of “digitalisation”. The present study explores the relationships between individual, contextual as well as social background factors, with a special focus on academic and digital media self-efficacy expectations. Data was collected at four German universities in summer 2018 (n = 2039). Currently, data is analysed by means of structural equation models.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Inclusive Innovation and Entrepreneurship in the New Digital Era
The intensive digitization of society has coincided with rising economic inequality across the developed economies. Missing from the standard list of policy responses to rising inequality is the role of innovation and entrepreneurship. This paper argues that new digital business models, that capture value differently and share the wealth created more broadly, will be a necessary part of addressing technology-based inequality. This in turn will require more support for inclusive innovation and entrepreneurship, which will allow novel, alternative value models to emerge, and be given a chance to compete and succeed. Using a three-part model of the main modes of performance in the digital era - datafication, algorithms, and platforms - the paper will discuss skills and intervention that might help in making digital innovation and entrepreneurship more inclusive.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Reproduction Material for: Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks
This repository contains replication data for "Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks". (2009-07-12)
#### Readme
The R code for all analysis is included in the file "ted_talks_analysis_replication.Rmd".
An html version of the analysis including output is available in file "ted_talks_analysis_replication.html"
The remaining files are either figures, UTF-8 encoded and tab-delimited datasets (original format .tsv, dataverse format .tab), or R objects (ending with .RData).
Please consider that data for TED talks is licensed under a Creative Commons License by TED.
The Python code for collecting the data from TED and the image recognition service
is not included in this repository. Unfortunately the TED website already changed
since the time of data collection, and the code therefore does not work anymore.
In case you have any questions about the replication material, feel free to contact me at [email protected]
#### File list
- readme.txt
- ted_main_dataset.tsv
- ted_ready_for_analysis.RData
- ted_talks_analysis_replication.html
- ted_talks_analysis_replication.Rmd
- ted_talks_validation.tsv
- ted_yt-comments_sentiment.tsv
- ted_yt-comments.tsv
- figures/figure2.pdf
- figures/figure2.png
- figures/figure3.pdf
- figures/figure3.png
- figures/figure4.pdf
- figures/figure4.png
- figures/supporting_information_figure1.png
- figures/supporting_information_figure2.png
- figures/supporting_information_figure3.png
- figures/supporting_information_figure4.png
- figures/supporting_information_figure5.pn
Digidem Digest - Issue 15 (June 2019)
The Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter
Platform Labour and the Mobile Underclass: Barriers to Participation in the United States and India
Online crowdwork platforms have been praised as powerful vehicles for economic development, particularly for workers traditionally excluded from the labor market. However, there has been insufficient scrutiny as to the feasibility of crowdwork as an income-source among socio-economically deprived populations. This paper examines device requirements and differential access to digital infrastructure, both of which act as potential barriers to not only basic participation but also to economic success. Given the increasing prevalence of mobile-first and mobile-only populations, research on this topic aids in understanding the crowdwork ecosystem among differing socio-economic sectors. Based on a survey of 606 crowd workers in the United States and India, this paper uses both quantitative and qualitative data to explore whether reliance on mobile devices is detrimental for the economic outcomes of crowdwork. The results point to substantial inequalities in device use and received benefits from crowdwork, within each country and between the two contexts.This work has been funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.: 16DII111, 16DII112, 16DII113, 16DII114, 16DII115, 16DII116, 16DII117 – „Deutsches Internet-Institut“
Digidem Digest - Issue 11 (February 2019)
The Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter
Digidem Digest - Issue 12 (March 2019)
The Digidem Digest literature radar was a monthly curated overview of the latest publications with relevance to the research group "Democracy and Digitalization" at the Weizenbaum Institute. Their research focused around the interrelation of digitalization and democratic self-determination, asking how liberal-democratic societies appropriate digital technologies and how democracy is changing within the digital configuration. The present articles and publications were chosen by observation of leading journals within the field - a list can be found at the end of each newsletter