scholarly journals Twitter Engagement in Media Organizations: The Case of the Greek National Broadcasting Corporation

2022 ◽  
Vol 3 (1) ◽  
pp. 66-80
Author(s):  
Styliani Antonakopoulou ◽  
Andreas Veglis
Keyword(s):  
User Behavior ◽  
User Engagement ◽  
Audience Response ◽  
User Comments ◽  
Public Media ◽  
Personal Opinion ◽  
News Organizations ◽  
Media Organizations ◽  
The Relationship ◽  
Key Parameter

A key parameter in the strategy of news organizations remains the exploitation of factors (such as post time and post type) that enhance the engagement level within online communities on social media. The purpose of this paper is to examine the relationship between post time and post type in correlation with audience response in the Twitter digital platform. Specifically, the study aims to ascertain how the two specific variables affect user engagement with its Twitter posts and how they shape the effectiveness of communication on social networks. The analysis includes 7.122 tweets of the Greek National Broadcasting Corporation (ERT) over four months. Moreover, the study analyzes the tone of user comments on the Twitter posts of the specific public media organizations to understand in-depth how the users communicate their views publicly. The collection of comments lasted seven weeks and they numbered 265 in 2639 tweets. Regarding the post time variable, the study came to important findings on user behavior during the 24 h, as the number of Retweets appears to increase in the morning compared to the afternoon. It was also found that as time goes on, the user is interested in leaving his personal opinion. Regarding the correlation of post type with user engagement, it was found that the accompaniment of a tweet with audiovisual material has a tempting effect on users.

scholarly journals Killing the Comments: Why Do News Organizations Remove User Commentary Functions?

2021 ◽  
Vol 2 (4) ◽  
pp. 572-583
Author(s):  
Maria N. Nelson ◽  
Thomas B. Ksiazek ◽  
Nina Springer
Keyword(s):  
Social Media ◽  
Thematic Analysis ◽  
User Engagement ◽  
Media Companies ◽  
User Comments ◽  
News Organizations ◽  
Digital Journalism ◽  
Social Media Platforms

User commentary in digital journalism is commonly understood as a form of public user engagement and participation, a stance that reframes news organizations’ role as discussion curators as necessarily consequential. Yet, in recent years many news organizations have limited, or abandoned altogether, their commentary functions. This paper examines statements and policies published by such news organizations. Based on a thematic analysis of 20 comment removal statements, we found that the most common rationale for this shift was an effort to reduce incivility and misinformation among user comments. The statements analyzed also indicate that organizations are moving to outsource commentary to social media platforms. Tapping into normative discourses of (avoiding) uncivil, conspiracy-prone commentary seems to be an acceptable rationale for abandoning infrastructures established for public discussions or to move these to social media; yet, we found no reflection whatsoever about the additional power afforded to social media companies through such a shift.

scholarly journals Research note: The scale of Facebook’s problem depends upon how ‘fake news’ is classified

2020 ◽  
Author(s):  
Richard Rogers
Keyword(s):  
Presidential Elections ◽  
Mass Scale ◽  
Research Note ◽  
User Engagement ◽  
Fake News ◽  
Scale Problem ◽  
Media Organizations ◽  
False News

Ushering in the contemporary ‘fake news’ crisis, Craig Silverman of Buzzfeed News reported that it outperformed mainstream news on Facebook in the three months prior to the 2016 US presidential elections. Here the report’s methods and findings are revisited for 2020. Examining Facebook user engagement of election-related stories, and applying Silverman’s classification of fake news, it was found that the problem has worsened, implying that the measures undertaken to date have not remedied the issue. If, however, one were to classify ‘fake news’ in a stricter fashion, as Facebook as well as certain media organizations do with the notion of ‘false news’, the scale of the problem shrinks. A smaller scale problem could imply a greater role for fact-checkers (rather than deferring to mass-scale content moderation), while a larger one could lead to the further politicisation of source adjudication, where labelling particular sources broadly as ‘fake’, ‘problematic’ and/or ‘junk’ results in backlash.

scholarly journals ANCHOR OPINION LEADER TRAITS, USER ENGAGEMENT AND BUYING BEHAVIOR—AN EMPIRICAL CASE IN A NEW SCENARIO

2021 ◽  
Author(s):  
YUAN WANG ◽  
CHU HUANG ◽  
BING-XUE HAN
Keyword(s):  
Opinion Leader ◽  
Purchase Behavior ◽  
User Engagement ◽  
Purchasing Behavior ◽  
Buying Behavior ◽  
User Interactions ◽  
Mediating Role ◽  
Live Broadcast ◽  
Leader Traits ◽  
The Relationship

In the emerging marketing scenario of e-commerce live broadcast, there are few studies on anchor-user interactions. By using all the data of the salesmen who introduces the merchandise to the audience through the camera on Taobao website in China in February 2021, a model with user engagement as a mediating variable was constructed to investigate the relationship between anchor opinion leader traits and user purchase behavior. The results show that anchor opinion leader traits positively influence users' purchasing behavior. User engagement plays a fully mediating role in this mechanism. The findings of this paper serve as a guide for the e-commerce industry to better cultivate and select anchors.

Mobile User Behaviors in China

2015 ◽  
pp. 1110-1128
Author(s):  
Minglong Lei ◽  
Weidong Liu ◽  
Yusong Gao ◽  
Tingshao Zhu
Keyword(s):  
Mobile Phones ◽  
User Behavior ◽  
Mobile User ◽  
User Behavior Analysis ◽  
Related Literature ◽  
User Behaviors ◽  
Analysis Process ◽  
Mobile Industry ◽  
The Mainland Of China ◽  
The Relationship

The development of the mobile industry makes it necessary for scholars to study mobile user behaviors in the mainland of China. This article is divided into three main parts after a brief introduction of the current Chinese mobile phone market. The first part is to demonstrate mobile use and its influencing factors in the mainland of China, and then to determine the mostly studied mobile usages among those articles. The second part pays attention to the effect brought by the use of mobile phones, and then checks the relationship between mobile addiction and other social behaviors. The last part is to illustrate the methods employed in the mobile user behavior analysis. After stating the analysis process of user behaviors, the authors attempted to summarize the main features extracted from data mining technology. Finally, the authors put forward some possible directions under the topic of mobile user behavior after careful review of the related literature.

scholarly journals Novel methods of estimating relative pollen productivity: A key parameter for reconstruction of past land cover from pollen records

2019 ◽  
Vol 43 (6) ◽  
pp. 731-753 ◽  
Author(s):  
Yiman Fang ◽  
Chunmei Ma ◽  
M Jane Bunting
Keyword(s):  
Land Cover ◽  
Empirical Data ◽  
Alternative Methods ◽  
Model Parameters ◽  
Value Analysis ◽  
Pollen Productivity ◽  
Tropical China ◽  
The Relationship ◽  
Pollen Records ◽  
Key Parameter

Reconstructing land cover from pollen data using mathematical models of the relationship between them has the potential to translate the many thousand pollen records produced over the last 100 years (over 2300 radiocarbon-dated pollen records exist for the UK alone) into formats relevant to ecologists, archaeologists and climate scientists. However, the reliability of these reconstructions depends on model parameters. A key parameter is Relative Pollen Productivity (RPP), usually estimated from empirical data using ‘Extended R Value analysis’ (ERV analysis). Lack of RPP estimates for many regions is currently a major limitation on reconstructing global land cover. We present two alternatives to ERV analysis, the Modified Davis Method and an iteration method, which use the same underlying model of the relationship between pollen and vegetation to estimate RPP from empirical data, but with different assumptions. We test them in simulation against ERV analysis, and use a case study of a problematic empirical dataset to determine whether they have the potential to increase the speed and geographic range of RPP estimation. The two alternative methods are shown to perform at least as well as ERV analysis in simulation. We also present new RPP estimates from southeastern sub-tropical China for nine taxa estimated using the Modified Davis Method. Adding these two methods to the ‘toolkit’ for land cover reconstruction from pollen records opens up the possibility to estimate a key parameter from existing datasets with less field time than using current methods. This can both speed up the inclusion of more of the globe in past land cover mapping exercises such as the PAGES Landcover6k working group and improve our understanding of how this parameter varies within a single taxon and the factors control that variation.

Engagement in Emotional News on Social Media: Intensity and Type of Emotions

2020 ◽  
pp. 107769902095971
Author(s):  
Jihyang Choi ◽  
Sang Yup Lee ◽  
Sung Wook Ji
Keyword(s):  
Social Media ◽  
Positive Emotions ◽  
User Engagement ◽  
Discrete Emotions ◽  
News Stories ◽  
Facebook Pages ◽  
The Relationship

This study sheds new light on the relationship between emotion and engagement. Specifically, we investigate how the six discrete emotions that news visuals deliver, as well as the positiveness of news text, are associated with three engagement activities: sharing, commenting, and reacting. The findings show that users are less likely to share or comment on news posts that convey positive emotions, although they tend to react to such news frequently. The most prominent kind of emotion associated with user engagement activities was “sadness.” We analyzed 12,179 news stories posted on the four major U.S. newspapers’ Facebook pages.

Considering Different Motivations in Design for Consumer-Behavior Change

2015 ◽  
Author(s):  
Jayesh Srivastava ◽  
L. H. Shu
Keyword(s):  
User Behavior ◽  
Explanatory Power ◽  
Design Tool ◽  
Behavior Model ◽  
News Sources ◽  
User Comments ◽  
Different Types ◽  
Explicit Consideration ◽  
Environmental Agreement ◽  
Different Levels

Much existing work aims to understand how to change human behavior through product-design interventions. Given the diversity of individuals and their motivations, solutions that address different motives are surprisingly rare. We aim to develop and validate a framework that clearly identifies and targets different types of behavioral motives in users. We present a behavior model comprising egoistic, sociocultural and altruistic motives, and apply the model to sustainable behavior. We confirmed the explanatory power of the behavior model by categorizing user comments about an international environmental agreement from multiple news sources. We next developed concepts, each intended to target a single motive type, and elicited evaluations from online respondents who self-assessed their motivation type after evaluating the concepts. We present and discuss correlation results between motive types and preference for products that target these types for two iterations of the experiment. Deviations from our expected results are mainly due to unexpected perceptions, both positive and negative, of our concepts. Despite this, the main value of this work lies in the explicit consideration of a manageable number of different types of motives. A proposed design tool incorporates the three types of motives from the model with the different levels of persuasion others have proposed to change user behavior.

scholarly journals A qualitative examination of urban vs rural sustainable consumption behaviours of energy and water consumers in the emerging Egyptian market

2019 ◽  
Vol 1 (2) ◽  
pp. 98-114 ◽  
Author(s):  
Omneya A. Marzouk
Keyword(s):  
Focus Group ◽  
Sustainable Consumption ◽  
Economic Value ◽  
Demographic Variables ◽  
Content Type ◽  
Public Media ◽  
Rural Consumers ◽  
The Relationship ◽  
Depth Interviews ◽  
Relevant Factors

Purpose The study aims to investigate the differences among urban and rural consumers in terms of their energy and water sustainable consumption behaviour levels and drivers and also empirically blueprint conceptual frameworks highlighting urban and rural consumer drivers to consume sustainably. Design/methodology/approach This research follows an exploratory design using a qualitative approach; 14 in-depth interviews followed by one focus group were conducted with urban consumers; on the other hand, 18 in-depth interviews followed by one focus group were conducted with rural consumers. Findings The findings show that no differences exist among urban and rural consumers in terms of both their sustainable consumption levels and their drivers to consume sustainably; such findings were encapsulated in the form of one conceptual framework pertinent to both urban and rural consumers; it has the following relevant factors: consumers’ attitudes toward conservation, subjective norms, perceived behavioural control, self-preference, public media influence, perceived economic value and perceived moral obligation to be relevant antecedents of conservation behaviour, which – in turn – drives sustainable purchase behaviours with the moderating effect of socio-demographic variables. Originality/value This paper contributes to extant literature as it provides evidence for the drivers of sustainable consumption behaviours of urban versus rural consumers in emerging countries; it also tentatively answers the question of whether the socio-demographic variables infer a difference in consumers’ sustainable consumption; finally, it studies sustainable consumption from a novel perspective with a focus on the relationship between its two pillars.

Study on Corner Contact Shock of Gear Transmission by ADAMS Software

2015 ◽  
Vol 778 ◽  
pp. 205-211
Author(s):  
Li He ◽  
Jin Yuan Tang
Keyword(s):  
Penetration Depth ◽  
Impact Velocity ◽  
Impact Force ◽  
Ansys Software ◽  
New Approach ◽  
Adams Software ◽  
Simulation Results ◽  
The Impact ◽  
The Relationship ◽  
Key Parameter

Solving gear meshing impact force problems by using ADAMS software is studied.A pair of tooth meshing model is established based on UG, modal neutral file is generated by using ANSYS software, calculating gear meshing impact after Importing ADAMS. The relationship between the impact velocity and the impact force by taking reasonable key parameter about penetration depth in ADAMS simulation.A new approach for studying gear meshing impact is proposed here, and the simulation results show that ADAMS software is a very useful tool for solving gear corner contact shock problems outside the normal path of action line.

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