Germany

2018 ◽  
Author(s):  
Lisa-Maria N. Neudert
Keyword(s):  
Social Media ◽  
Public Discourse ◽  
Parliamentary Election ◽  
Right Wing ◽  
The Public ◽  
Wide Range ◽  
Depth Analysis ◽  
Methodological Assessment ◽  
Multi Stakeholder ◽  
The Impact

As concerns over misinformation, political bots, and the impact of social media on public discourse manifest in Germany, this chapter explores the role of computational propaganda in and around German politics. The research sheds light on how algorithms, automation, and big data are leveraged to manipulate the German public, presenting real-time social media data and rich evidence from interviews with a wide range of German Internet experts—bot developers, policymakers, cyberwarfare specialists, victims of automated attacks, and social media moderators. In addition, the chapter examines how the ongoing public debate surrounding the threats of right-wing political currents and foreign election interference in the Federal Election 2017 has created sentiments of concern and fear. Imposed regulation, multi-stakeholder actionism, and sustained media attention remain unsubstantiated by empirical findings of computational propaganda. The chapter provides an in-depth analysis of social media discourse during the German parliamentary election 2016. Pioneering the methodological assessment of the magnitude of automation and junk news, the author finds limited evidence of computational propaganda in Germany. The author concludes that the impact of computational propaganda, nonetheless, is substantial in Germany, promoting a dispersed civic debate, political vigilance, and restrictive countermeasures that leave a deep imprint on the freedom and openness of the public discourse in Germany.

The impact of the SARS-CoV-2 pandemic on tourists’ personal prestige – an experimental study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Friedericke Kuhn ◽  
Florian Kock ◽  
Martin Lohmann
Keyword(s):  
Social Media ◽  
Design Methodology ◽  
Public Discourse ◽  
Conspicuous Consumption ◽  
Social Perceptions ◽  
Content Type ◽  
Leisure Travel ◽  
News Reporting ◽  
The Public ◽  
The Impact

Purpose The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic has drastically affected the public discourse on tourism in news reporting and on social media, potentially changing social perceptions of travel and its utility for conspicuous consumption. Prestige enhancement is a common tourist motivation, yet, as tourists have been portrayed as irresponsible and even dangerous during the pandemic, the benefits of travel for personal prestige may have been affected. The purpose of this study is to monitor changes in tourists’ personal prestige during the early pandemic in 2020. Design/methodology/approach The authors developed an innovative study design implicitly measuring the personal prestige of tourists shown on experimentally manipulated social media posts. Three measurement waves were issued to compare the personal prestige of tourists just before, during and after the first lockdown situation in Germany. Findings Differences regarding evaluations of tourists’ prestige were found for prestige dimensions of hedonism, achievements, wealth and power, suggesting that prestige ascription to tourists has been affected by the changing discourse on leisure travel. Originality/value This study contributes to the discussion of the socio-psychological effects of the SARS-CoV-2 pandemic on customer benefits of leisure travel. It exposes possible impacts of the pandemic on tourisms’ value for conspicuous consumption and prestige enhancement.

scholarly journals Insults, criminalization, and calls for violence: Forms of hate speech and offensive language in German user comments on immigration

2021 ◽  
Author(s):  
Sünje Paasch-Colberg ◽  
Joachim Trebbe ◽  
Christian Strippel ◽  
Martin Emmer
Keyword(s):  
Social Media ◽  
Public Discourse ◽  
Hate Speech ◽  
Right Wing ◽  
The Public ◽  
Text Annotation ◽  
User Comments ◽  
News Websites ◽  
Social Media Platforms ◽  
Offensive Language

In the past decade, the public discourse on immigration in Germany has been strongly affected by right-wing populist, racist, and Islamophobic positions. This becomes evident especially in the comment sections of news websites and social media platforms, where user discussions often escalate and trigger hate comments against refugees and immigrants and also against journalists, politicians, and other groups. In view of the threatening consequences such sentiments can have for groups who are targeted by right-wing extremist violence, we take a closer look into such user discussions to gain detailed insights into the various forms of hate speech and offensive language against these groups. Using a modularized framework that goes beyond the common “hate/no-hate” dichotomy in the field, we conducted a structured text annotation of 5,031 user comments posted on German news websites and social media in March 2019. Most of the hate speech we found was directed against refugees and immigrants, while other groups were mostly exposed to various forms of offensive language. In comments containing hate speech, refugees and Muslims were frequently stereotyped as criminals, whereas extreme forms of hate speech, such as calls for violence, were rare in our data. These findings are discussed with a focus on their potential consequences for public discourse on immigration in Germany.

#INCLUSION – THE IMPACT OF SOCIAL MEDIA COMMUNICATION ON THE LEGITIMACY OF ARMED FORCES

2019 ◽  
pp. 43-60
Author(s):  
EVA MOEHLECKE DE BASEGGIO ◽  
OLIVIA SCHNEIDER ◽  
TIBOR SZVIRCSEV TRESCH
Keyword(s):  
Social Media ◽  
Political Communication ◽  
Structural Equation ◽  
Armed Forces ◽  
Equation Model ◽  
Media Communication ◽  
The Public ◽  
Political Legitimation ◽  
Social Media Communication ◽  
The Impact

The Swiss Armed Forces (SAF), as part of a democratic system, depends on legitimacy. Democracy, legitimacy and the public are closely connected. In the public sphere the SAF need to be visible; it is where they are controlled and legitimated by the citizens, as part of a deliberative discussion in which political decisions are communicatively negotiated. Considering this, the meaning of political communication, including the SAF’s communication, becomes obvious as it forms the most important basis for political legitimation processes. Social media provide a new way for the SAF to communicate and interact directly with the population. The SAF’s social media communication potentially brings it closer to the people and engages them in a dialogue. The SAF can become more transparent and social media communication may increase its reputation and legitimacy. To measure the effects of social media communication, a survey of the Swiss internet population was conducted. Based on this data, a structural equation model was defined, the effects of which substantiate the assumption that the SAF benefits from being on social media in terms of broadening its reach and increasing legitimacy values.

New Wars and Their Visual Representation: Dead Bodies without Graves/Mourne

2020 ◽  
Vol 2 ◽  
pp. 1-18
Author(s):  
Tuncay Şur ◽  
Betül Yarar
Keyword(s):  
Social Media ◽  
Visual Representation ◽  
Human Beings ◽  
The Public ◽  
Photographic Images ◽  
War Photography ◽  
New Wars ◽  
The Social ◽  
History Of ◽  
The Impact

This paper seeks to understand why there has been an increase in photographic images exposing military violence or displaying bodies killed by military forces and how they can freely circulate in the public without being censored or kept hidden. In other words, it aims to analyze this particular issue as a symptom of the emergence of new wars and a new regime of their visual representation. Within this framework, it attempts to relate two kinds of literature that are namely the history of war and war photography with the bridge of theoretical discussions on the real, its photographic representation, power, and violence.  Rather than systematic empirical analysis, the paper is based on a theoretical attempt which is reflected on some socio-political observations in the Middle East where there has been ongoing wars or new wars. The core discussion of the paper is supported by a brief analysis of some illustrative photographic images that are served through the social media under the circumstances of war for instance in Turkey between Turkish military troops and the Kurdish militants. The paper concludes that in line with the process of dissolution/transformation of the old nation-state formations and globalization, the mechanism and mode of power have also transformed to the extent that it resulted in the emergence of new wars. This is one dynamic that we need to recognize in relation to the above-mentioned question, the other is the impact of social media in not only delivering but also receiving war photographies. Today these changes have led the emergence of new machinery of power in which the old modern visual/photographic techniques of representing wars without human beings, torture, and violence through censorship began to be employed alongside medieval power techniques of a visual exhibition of tortures and violence.

COVID-19 and the politicisation of medical preprints on Twitter: Quantitative Analysis of Social Media Data (Preprint)

2020 ◽  
Author(s):  
Aleksandra Urman ◽  
Stefania Ionescu ◽  
David Garcia ◽  
Anikó Hannák
Keyword(s):  
Social Media ◽  
Direct Effect ◽  
Public Discourse ◽  
The Public ◽  
Media Companies ◽  
Preventative Measures ◽  
Twitter Users ◽  
New Research ◽  
Sharing Patterns ◽  
Political Divide

BACKGROUND Since the beginning of the COVID-19 pandemic, scientists have been willing to share their results quickly to speed up the development of potential treatments and/or a vaccine. At the same time, traditional peer-review-based publication systems are not always able to process new research promptly. This has contributed to a surge in the number of medical preprints published since January 2020. In the absence of a vaccine, preventative measures such as social distancing are most helpful in slowing the spread of COVID-19. Their effectiveness can be undermined if the public does not comply with them. Hence, public discourse can have a direct effect on the progression of the pandemic. Research shows that social media discussions on COVID-19 are driven mainly by the findings from preprints, not peer-reviewed papers, highlighting the need to examine the ways medical preprints are shared and discussed online. OBJECTIVE We examine the patterns of medRxiv preprint sharing on Twitter to establish (1) whether the number of tweets linking to medRxiv increased with the advent of the COVID-19 pandemic; (2) which medical preprints were mentioned on Twitter most often; (3) whether medRxiv sharing patterns on Twitter exhibit political partisanship; (4) whether the discourse surrounding medical preprints among Twitter users has changed throughout the pandemic. METHODS The analysis is based on tweets (n=557,405) containing links to medRxriv preprint repository that were posted between the creation of the repository in June 2019 and June 2020. The study relies on a combination of statistical techniques and text analysis methods. RESULTS Since January 2020, the number of tweets linking to medRxiv has increased drastically, peaking in April 2020 with a subsequent cool-down. Before the pandemic, preprints were shared predominantly by users we identify as medical professionals and scientists. After January 2020, other users, including politically-engaged ones, have started increasingly tweeting about medRxiv. Our findings indicate a political divide in sharing patterns of the top-10 most-tweeted preprints. All of them were shared more frequently by users who describe themselves as Republicans than by users who describe themselves as Democrats. Finally, we observe a change in the discourse around medRxiv preprints. Pre-pandemic tweets linking to them were predominantly using the word “preprint”. In February 2020 “preprint” was taken over by the word “study”. Our analysis suggests this change is at least partially driven by politically-engaged users. Widely shared medical preprints can have a direct effect on the public discourse around COVID-19, which in turn can affect the societies’ willingness to comply with preventative measures. This calls for an increased responsibility when dealing with medical preprints from all parties involved: scientists, preprint repositories, media, politicians, and social media companies. CONCLUSIONS Widely shared medical preprints can have a direct effect on the public discourse around COVID-19, which in turn can affect the societies’ willingness to comply with preventative measures. This calls for an increased responsibility when dealing with medical preprints from all parties involved: scientists, preprint repositories, media, politicians, and social media companies.

Correcting Misperceptions About Genetically Modified Food on Social Media: Examining the Impact of Experts, Social Media Heuristics, and the Gateway Belief Model

2020 ◽  
pp. 107554702098137
Author(s):  
Leticia Bode ◽  
Emily K. Vraga ◽  
Melissa Tully
Keyword(s):  
Social Media ◽  
Food Safety ◽  
Genetically Modified ◽  
Human Consumption ◽  
Genetically Modified Food ◽  
The Public ◽  
Scientific Consensus ◽  
Gm Food ◽  
Belief Model ◽  
The Impact

We experimentally test whether expert organizations on social media can correct misperceptions of the scientific consensus on the safety of genetically modified (GM) food for human consumption, as well as what role social media cues, in the form of “likes,” play in that process. We find expert organizations highlighting scientific consensus on GM food safety reduces consensus misperceptions among the public, leading to lower GM misperceptions and boosting related consumption behaviors in line with the gateway belief model. Expert organizations’ credibility may increase as a result of correction, but popularity cues do not seem to affect misperceptions or credibility.

scholarly journals Corporate Social Responsibility Disclosure: Responding to Investors’ Criticism on Social Media

2021 ◽  
Vol 18 (14) ◽  
pp. 7396
Author(s):  
Yuming Zhang ◽  
Fan Yang
Keyword(s):  
Social Media ◽  
Corporate Social Responsibility ◽  
Social Responsibility ◽  
Social Issues ◽  
Media Criticism ◽  
Csr Communication ◽  
Depth Analysis ◽  
Csr Disclosure ◽  
Corporate Social ◽  
The Impact

Companies use corporate social responsibility (CSR) disclosures to communicate their social and environmental policies, practices, and performance to stakeholders. Although the determinants and outcomes of CSR activities are well understood, we know little about how companies use CSR communication to manage a crisis. The few relevant CSR studies have focused on the pressure on corporations exerted by governments, customers, the media, or the public. Although investors have a significant influence on firm value, this stakeholder group has been neglected in research on CSR disclosure. Grounded in legitimacy theory and agency theory, this study uses a sample of Chinese public companies listed on the Shanghai Stock Exchange to investigate CSR disclosure in response to social media criticism posted by investors. The empirical findings show that investors’ social media criticism not only motivates companies to disclose their CSR activities but also increases the substantiveness of their CSR reports, demonstrating that companies’ CSR communication in response to a crisis is substantive rather than merely symbolic. We also find that the impact of social media criticism on CSR disclosure is heterogeneous. Non-state-owned enterprises, companies in regions with high levels of environmental regulations, and companies in regions with local government concern about social issues are most likely to disclose CSR information and report substantive CSR activities. We provide an in-depth analysis of corporate CSR strategies for crisis management and show that crises initiated by investors on social media provide opportunities for corporations to improve their CSR engagement.

scholarly journals Determinants of Social Media Impact in Local Government

2016 ◽  
Vol 28 (3) ◽  
pp. 82-103 ◽  
Author(s):  
Mohd Hisham Mohd Sharif ◽  
Indrit Troshani ◽  
Robyn Davidson
Keyword(s):  
Social Media ◽  
Local Government ◽  
Structural Equation ◽  
Limited Attention ◽  
Security Risks ◽  
Media Impact ◽  
The Public ◽  
Perceived Security ◽  
The Impact ◽  
Media Data

Limited attention has been directed towards understanding the impact of social media in the public sector, particularly in local government organisations. Although social media offer substantial benefits and opportunities to local government, research into the impact of social media remains scant. To address this gap, the authors draw on the technology, organisation, and environment (TOE) framework and propose a model of the determinants of social media impact in local government. The model is tested with data collected via a survey with 173 Australian local government organisations using social media. Data were analysed using the partial least squares-structural equation modelling (PLS-SEM) technique. The results indicate that TOE factors including perceived benefits, perceived security risks, compatibility, and degree of formalisation are important predictors of social media impact in local government.

Public perception of COVID-19 vaccines from the digital footprints left on Twitter: analyzing positive, neutral and negative sentiments of Twitterati

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aasif Ahmad Mir ◽  
Sevukan Rathinam ◽  
Sumeer Gul
Keyword(s):  
Social Media ◽  
Public Perception ◽  
English Language ◽  
Social Issues ◽  
Application Programming Interface ◽  
Content Type ◽  
The Public ◽  
Public Reaction ◽  
Types Of Information ◽  
The Impact

PurposeTwitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.Design/methodology/approachTo fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.FindingsA gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.Research limitations/implicationsThe main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.Practical implicationsThe study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.Originality/valueThe paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

Public relations in the age of data: corporate perspectives on social media analytics (SMA)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kathy R. Fitzpatrick ◽  
Paula L. Weissman
Keyword(s):  
Social Media ◽  
Public Relations ◽  
Social Media Analytics ◽  
Content Type ◽  
The Public ◽  
Management Function ◽  
Use Of Social Media ◽  
The Impact ◽  
Corporate Brands ◽  
Depth Interviews

PurposeThe aim of this study was to understand how public relations leaders view and use social media analytics (SMA) and the impact of SMA on the public relations function.Design/methodology/approachThe research involved in-depth interviews with chief communication officers (CCOs) from leading multinational corporate brands.FindingsThe findings revealed that although CCOs perceive social media analytics as strategically important to the advancement of public relations, the use of social media data is slowed by challenges associated with building SMA capacity.Theoretical and practical implications – The research extends public relations theory on public relations as a strategic management function and provides practical insights for building SMA capabilities.Originality/valueThe study is among the first to provide empirical evidence of how companies are using social media analytics to enhance public relations efforts.

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