“Toxic atmosphere effect”: Uncivil online comments cue negative audience perceptions of news outlet credibility

Journalism ◽  
2021 ◽  
pp. 146488492110640
Author(s):  
Gina M Masullo ◽  
Ori Tenenboim ◽  
Shuning Lu
Keyword(s):  
United States ◽  
The United States ◽  
News Story ◽  
Expectancy Violations ◽  
Atmosphere Effect ◽  
User Comments ◽  
News Organizations ◽  
Online Comments ◽  
Negative Effect ◽  
News Outlet

Uncivil user comments have been found to have a negative effect on how people perceive an issue featured in the news, a news story, or a journalist who reports a news story. To advance this line of research, we draw on expectancy violations theory and the concept of heuristic cues to theorize the toxic atmosphere effect. We theorize that incivility in online comment threads could pose an even larger challenge to news organizations by cuing news audience members to perceive an entire news outlet—not just an individual story—as lacking in credibility. Based on two experiments in the United States (Study 1, n = 520; Study 2, n = 1056), we show that exposure to incivility can lead people to perceive a news outlet as less credible even though the incivility did not directly attack the news outlet. Such effects hold true even when people are exposed to comment threads in which the first several comments are civil. Democratic and business implications are discussed.

Shaping (non)-discursive social media spaces: Cross-national typologies of news organizations’ heavy commenters

2020 ◽  
pp. 146144482094645
Author(s):  
Lea Hellmueller ◽  
Juliane A Lischka ◽  
Edda Humprecht
Keyword(s):  
United States ◽  
Social Media ◽  
The United States ◽  
Web Traffic ◽  
Political Ideologies ◽  
News Organizations ◽  
The Us ◽  
News Outlet ◽  
Facebook Pages

This study examines the role of heavy commenters on social media. We propose typologies of heavy commenters on Facebook pages of six news organizations in two systems that historically embraced different discourse cultures—the United States and Germany. We find that discourse cultures are impacted by news outlet and country: the US discourse is more participatory in terms of comment frequency, but further characterized by a strong non-discursive culture compared to a participatory liberal discourse culture in Germany. Frequency of commenting as normative ideal of social media sites (e.g. web traffic) does not lead to higher amounts of deliberation. On the contrary, it may contribute to what we conceptualize as the non-discursive model. As an expression of this, heavy commenters in the United States more often perform hate watching that manifests in hostile commenting on stories that are incongruent with their political ideologies. Implications for the democratic function of media organizations on social media are discussed.

Migration and the Internet

2017 ◽  
Vol 14 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Thomas John Cooke ◽  
Ian Shuttleworth
Keyword(s):  
United States ◽  
Information And Communication Technologies ◽  
Unobserved Heterogeneity ◽  
Panel Study ◽  
The United States ◽  
Negative Effect ◽  
Information And Communication ◽  
Using Data ◽  
And Migration ◽  
Dynamics Models

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving.  Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.

scholarly journals Analysis of User Needs on Downloading Behavior of English Vocabulary APPs Based on Data Mining for Online Comments

Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1341
Author(s):  
Tinggui Chen ◽  
Lijuan Peng ◽  
Jianjun Yang ◽  
Guodong Cong
Keyword(s):  
Negative Impact ◽  
Positive Impact ◽  
User Needs ◽  
User Requirements ◽  
Functional Requirements ◽  
User Comments ◽  
Online Comments ◽  
Significant Negative Impact ◽  
Negative Effect ◽  
New Type

With highly developed social media, English learning Applications have become a new type of mobile learning resources, and online comments posted by users after using them have not only become an important source of intellectual competition for enterprises, but can also help understand customers’ requirements, thereby improving product functionalities and service quality, and solve the pain points of product iteration and innovation. Based on this, this paper crawled the online user comments of three typical APPs (BaiCiZhan, MoMoBeiDanCi and BuBeiDanCi), through emotion analysis and hotspot mining technology, to obtain user requirements and then the K-means clustering method was used to analyze user requirements. Finally, quantile regression is used to find out which user needs have an impact on the downloads of English vocabulary APPs. The results show that: (1) Positive comments have a more significant impact on users’ downloads behavior than negative online comments. (2) English vocabulary APPs with higher downloads, both the 5-star user ratings and the increase of emotional requirement have a negative effect on the increase in APP downloads, while the enterprise’s service requirement improvement has a positive effect on the increase of APP downloads. (3) Regarding English vocabulary APPs with average or high downloads, improving the adaptability and Appearance requirements have significant negative impact on downloads. (4) The functional requirements to improve products will have a significant positive impact on the increase in downloads of English vocabulary APPs.

Improving Accuracy using The ASERLU layer in CNN-BiLSTM Architecture on Sentiment Analysis

2021 ◽  
Vol 5 (5) ◽  
pp. 1001-1007
Author(s):  
Sandi Hermawan ◽  
Rilla Mandala
Keyword(s):  
United States ◽  
Activation Function ◽  
The United States ◽  
Activation Method ◽  
Training Process ◽  
Educational Backgrounds ◽  
User Comments ◽  
Sentiment Detection ◽  
Improving Accuracy ◽  
Different Cultures

There have been 350,000 tweets generated by the interaction of social networks with different cultures and educational backgrounds in the last ten years. Various sentiments are expressed in the user comments, from support to hatred. The sentiments regarded the United States General Election in 2020. This dataset has 3,000 data gotten from previous research. We augment it becomes 15,000 data to facilitate training and increase the required data. Sentiment detection is carried out using the CNN-BiLSTM architecture. It is chosen because CNN can filter essential words, and BiLSTM can remember memory in two directions. By utilizing both, the training process becomes maximum. However, this method has disadvantages in the activation. The drawback of the existing activation method, i.e., "Zero-hard Rectifier" and "ReLU Dropout" problem to become the cause of training stopped in the ReLU activation, and the exponential function cannot be set become the activation function still rigid towards output value in the SERLU activation. To overcome this problem, we propose a novel activation method to repair activation in CNN-BiLSTM architecture. It is namely the ASERLU activation function. It can adjust positive value output, negative value output, and exponential value by the setter variables. So, it adapts more conveniently to the output value and becomes a flexible activation function because it can be increased and decreased as needed. It is the first research applied in architecture. Compared with ReLU and SERLU, our proposed method gives higher accuracy based on the experiment results.

Engaging Your Feelings: Emotion Contagion and Public Engagement on Nonprofit Organizations’ Facebook Sites

2021 ◽  
pp. 089976402110573
Author(s):  
Zongchao Cathy Li ◽  
Yi Grace Ji ◽  
Weiting Tao ◽  
Zifei Fay Chen
Keyword(s):  
United States ◽  
Nonprofit Organizations ◽  
Sentiment Analysis ◽  
Public Engagement ◽  
Negative Emotions ◽  
The United States ◽  
Computer Assisted ◽  
Diffusion Effect ◽  
User Comments ◽  
Emotion Contagion

This study investigated nonprofit organizations’ (NPOs) emotion-based content strategies on Facebook and publics’ engagement behaviors. More than 52,000 Facebook posts and corresponding comments were collected from the top 100 NPOs in the United States. The emotion-carrying status and valence of the messages were analyzed with computer-assisted sentiment analysis procedures. Results confirmed emotion-carrying posts and posts with negative emotions led to increased public engagement as indexed by the volumes of likes, shares, and comments. The presence of emotions and valence of the NPOs’ posts were also found to have a diffusion effect on user comments.

scholarly journals INTERVENSI KEBIJAKAN MONETER TERHADAP INVESTASI PORTOFOLIO: KASUS INDONESIA DAN AMERIKA SERIKAT

2020 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Nanda Alfarina ◽  
Hasdi Aimon
Keyword(s):  
United States ◽  
Interest Rate ◽  
Secondary Data ◽  
The United States ◽  
Portfolio Investment ◽  
Mechanism Analysis ◽  
Long Run ◽  
Negative Effect ◽  
The Difference ◽  
Effect Of Monetary Policy

This study aims to determine the effect of monetary policy measured by the central bank’s policy rate (X1) on portfolio investment (Y) in Indonesia and United States in the long run. The data used are secondary data seouced from SEKI BI, FRED The FEd, coinmarketcap.com, and investing.com, with the VECM (Vector Error Correction Mechanism) analysis methode. The study show The study shows the differences between the results that occur in Indonesia and the United States. The policy interest rate has a significant positive effect on portfolio investment in the long run in Indonesia, while in the United States the interest rate in the long run has a significant negative effect on portfolio investment. The difference in research results between the two countries shows the need for different treatment for monetary authorities in encouraging portfolio investment 

Economic Decline, Social Identity, and Authoritarian Values in the United States

2021 ◽  
Author(s):  
Cameron Ballard-Rosa ◽  
Amalie Jensen ◽  
Kenneth Scheve
Keyword(s):  
United States ◽  
Social Identity ◽  
Social Norm ◽  
Interactive Effect ◽  
The United States ◽  
Vote Choice ◽  
Economic Decline ◽  
Induced Labor ◽  
The Social ◽  
Negative Effect

Abstract Why does the contemporary backlash against globalization in the United States have such a substantial authoritarian character? We argue that sustained economic decline has a negative effect on the social identity of historically dominant groups. These losses lead individuals to be more likely to want to enforce social norm conformity—that is, adopt more authoritarian values—as a way to preserve social status and this effect is greater the larger the size of other groups in the population. Central to our account is the expectation of an interactive effect of local economic and demographic conditions in forging value responses to economic decline. The article evaluates this argument using an original 2017 representative survey in the United States. We find that individuals living in relatively diverse regions facing more intense competition from Chinese imports have more authoritarian values. We further find that the greater effect of globalization-induced labor market decline in more diverse areas is also evident for vote choice in the 2016 Presidential election.

“This is Not Who We Are:” Progressive Media and Post-Race in the New Era of Overt Racism

2019 ◽  
Vol 12 (1) ◽  
pp. 1-17
Author(s):  
Katherine M Bell
Keyword(s):  
United States ◽  
Mentally Ill ◽  
News Coverage ◽  
The United States ◽  
Right Wing ◽  
New Era ◽  
Cable Network ◽  
History Of ◽  
Ideological Stance ◽  
News Outlet

Abstract This analysis explores how a liberal mainstream news outlet—MSNBC—grapples with the overt racism of the current right-wing populist presidential administration in the United States. With a plethora of “good” conservatives and its stable of liberal pundits, the cable network has painted the president as mentally ill or declining, an incompetent purveyor of chaos. In perpetuating a mantra of “this is not who we are” in coverage of overt racism, MSNBC pivots to a more comfortable mainstream space of post-race, an ideological stance that places racism as a fringe anomaly. The post-race pivot belies the country’s ongoing racist legacy, and potentially lulls viewers toward acceptance of official antiracisms that serve hegemonic interests. Thus, the news coverage of the current presidency plays a role in forestalling a meaningful reckoning with the country’s ongoing history of institutional and everyday racism.

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