Analysis of Change in Perception of Professional Volleyball Using News Article Search Information

2021 ◽  
Vol 30 (3) ◽  
pp. 433-446
Author(s):  
Jaeyoon Kwon ◽  
Sang-Back Nam
Keyword(s):  
News Article ◽  
Analysis Of Change ◽  
Search Information

Examining the Effects of Two Mindful Eating Exercises on Chocolate Consumption

2019 ◽  
Vol 26 (4) ◽  
pp. 120-128 ◽  
Author(s):  
Michael Mantzios ◽  
Kirby Skillett ◽  
Helen Egan
Keyword(s):  
Likert Scale ◽  
News Article ◽  
Mindful Eating ◽  
The Impact

Abstract. The present study aimed to investigate and compare the impact of the Mindful Construal Diary (MCD) and the Mindful Raisin Exercise on the sensory tasting experience of chocolate and participants’ chocolate consumption. Participants were randomly allocated into three conditions (MCD, mindful raisin exercise, and mindless control), and engaged with either the MCD, the mindful raisin exercise, or, were asked to read a news article, respectively, while they ate a piece of chocolate. They then rated their satisfaction and desire to consume more chocolate on a 10-point Likert scale, and filled in a state mindful eating scale. Afterward, participants were informed that the study had ended and were asked to wait while the experimenter recorded some information, and any extra chocolate consumption during this time was recorded. Participants in both mindfulness conditions consumed significantly less chocolate after the exercise than participants in the control condition. No significant differences were found between the three conditions on ratings of satisfaction and desire to consume more chocolate. Both the MCD and the raisin exercise can be used to successfully moderate the intake of calorific foods, while the MCD can be utilized as an alternative practice to the typical meditation-based interventions.

Automatic News Article Summarization

2018 ◽  
Vol 6 (2) ◽  
pp. 230-237
Author(s):  
Laxmi B. Rananavare ◽  
◽  
P. Venkata Subba Reddy ◽  
Keyword(s):  
News Article

Muslim mass shooters are perceived as less mentally ill and more motivated by religion

2017 ◽  
Author(s):  
Brett Gregory Mercier ◽  
Azim Shariff ◽  
Adam Norris
Keyword(s):  
Mental Illness ◽  
Mentally Ill ◽  
News Article ◽  
Mass Shootings ◽  
Negative Attitudes ◽  
Extremist Groups

Objective: We test whether prejudice can influence lay attributions of mental illness to perpetrators of violence. Specifically, we examine whether people with negative attitudes towards Muslims perceive Muslim mass shooters as less mentally ill than non-Muslim shooters. Method: Study 1 compares attributions of mental illness to Muslim and non-Muslim perpetrators of recent mass shootings. Studies 2 and 3 experimentally test whether a mass shooter described in a news article is seen as less mentally ill when described as being a Muslim, compared to when described as a Christian (Study 2) and to when religion is not mentioned (Study 3). Study 4 tests whether a Muslim shooter is seen as less mentally ill than a Christian shooter, even when both shooters have symptoms of mental illness. Results: In all studies, Muslim shooters were seen as less mentally ill than non-Muslim shooters, but only by those with negative views towards Muslims. Conclusion: Those with anti-Muslim prejudices perceive Muslim mass shooters as less mentally ill, likely to maintain culpability and fit narratives about terrorism. This may reinforce anti-Muslim attitudes by leading those with anti-Muslim prejudice to overestimate the amount of violence inspired by groups like ISIS relative to extremist groups from other ideologies.

Opportunities for Qualitative Analysis of Social Media Platforms in Dietetic Research and Practice

2020 ◽  
pp. 1-5
Author(s):  
Meghan Lynch ◽  
Irena Knezevic ◽  
Kennedy Laborde Ryan
Keyword(s):  
Social Media ◽  
Low Cost ◽  
Online News ◽  
News Article ◽  
Discussion Forums ◽  
Research And Practice ◽  
The Public ◽  
Related Data ◽  
Social Media Platforms ◽  
Article Comment

To date, most qualitative knowledge about individual eating patterns and the food environment has been derived from traditional data collection methods, such as interviews, focus groups, and observations. However, there currently exists a large source of nutrition-related data in social media discussions that have the potential to provide opportunities to improve dietetic research and practice. Qualitative social media discussion analysis offers a new tool for dietetic researchers and practitioners to gather insights into how the public discusses various nutrition-related topics. We first consider how social media discussion data come with significant advantages including low-cost access to timely ways to gather insights from the public, while also cautioning that social media data have limitations (e.g., difficulty verifying demographic information). We then outline 3 types of social media discussion platforms in particular: (i) online news article comment sections, (ii) food and nutrition blogs, and (iii) discussion forums. We discuss how each different type of social media offers unique insights and provide a specific example from our own research using each platform. We contend that social media discussions can contribute positively to dietetic research and practice.

Pencarian Question-Answer Menggunakan Convolutional Neural Network Pada Topik Agama Berbahasa Indonesia

2018 ◽  
Vol 10 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Rizqa Raaiqa Bintana ◽  
Chastine Fatichah ◽  
Diana Purwitasari
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Question Answering ◽  
Mean Average Precision ◽  
Average Precision ◽  
Community Based ◽  
Network Methods ◽  
The Mean ◽  
Index Terms ◽  
Search Information

Community-based question answering (CQA) is formed to help people who search information that they need through a community. One condition that may occurs in CQA is when people cannot obtain the information that they need, thus they will post a new question. This condition can cause CQA archive increased because of duplicated questions. Therefore, it becomes important problems to find semantically similar questions from CQA archive towards a new question. In this study, we use convolutional neural network methods for semantic modeling of sentence to obtain words that they represent the content of documents and new question. The result for the process of finding the same question semantically to a new question (query) from the question-answer documents archive using the convolutional neural network method, obtained the mean average precision value is 0,422. Whereas by using vector space model, as a comparison, obtained mean average precision value is 0,282. Index Terms—community-based question answering, convolutional neural network, question retrieval

THE ANALYSIS OF PASSENGER TRAFFIC ON THE ROUTES OF THE BUS OF KURSK

2020 ◽  
Vol 71 (4) ◽  
pp. 37-45
Author(s):  
B.A. SEMENIKHIN ◽  
◽  
L.P. KUZNETSOVA ◽  
YU.A. MALNEVA ◽  
A.YU. ALTUKHOV ◽  
...  
Keyword(s):  
Total Power ◽  
Passenger Traffic ◽  
Route Network ◽  
Analysis Of Change ◽  
Bus Network

Results of inspection and the analysis of passenger traffics on routes of the bus of Kursk are presented, the main shortcomings of the existing route network are revealed. The analysis of change of daily volume of transportations of passengers made on the basis of data of it and the previous inspections of passenger traffics and also distribution of total power of a passenger traffic on hours of day is provided. Results of development of rational route bus network of Kursk which is almost completely deprived of the shortcomings inherent in the existing route network are presented.

Conflicting Health-Related Scientific Evidence in News Reports: Effects of Hedging and Presentation Format on Perceived Issue Uncertainty and Scientists’ and Journalists’ Credibility

2019 ◽  
Author(s):  
Hui Zhang
Keyword(s):  
Health Communication ◽  
Scientific Evidence ◽  
The Other ◽  
Presentation Format ◽  
News Article ◽  
Online Experiment ◽  
News Reports ◽  
Conflicting Evidence ◽  
Health Related

Introduction: This study examined effects of two journalistic practices in reporting conflicting scientific evidence, hedging and presentation format, on scientists’ and journalists’ credibility and issue uncertainty. Methods: An online experiment was conducted using students from a western U.S. university. Hedging was manipulated as reporting methodological limitations versus not reporting the limitations in news articles covering the conflict. Presentation format was manipulated as using a single news article to report both sides of the conflict versus using double articles with one side of the conflict in one article and the other side in the other article. Results: The study found that perceived issue uncertainty was higher in hedged news articles than that in non-hedged articles; presentation format did not affect people’s perceived issue uncertainty. For scientists’ credibility (both competence and trustworthiness), this study found that it was lower in the single-article format than that in the double-article format; for journalists’ credibility, this study found that journalists’ trustworthiness in the two formats did not vary, but their competence was lower in the double-article format than that in the single-article format. Conclusion: This study contributes to the field of science and health communication by examining effects of presentation format used in communicating conflicting health-related scientific evidence and by examining effects of communicating scientific limitations in a context where conflicting evidence exists. Keywords: conflicting scientific evidence, hedging, presentation format, scientists’ credibility, journalists’ credibility

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