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Social media has made people better informed but also easier to manipulate. By using literature review and observing social media, the authors found a problem about echo chamber effect. The purpose of this paper is to know how the echo chamber affects the people who consume political news and the role of media diversity in it.

To conduct this study, the authors used a structured questionnaire on the Qualtrics platform to collect data from 183 participants. The authors collected data using a simple random technique. This study is based on the cross-sectional survey; the data collection period is from October to November 2023. The authors used the SPSS software to analyze the relationships between the variables and test the hypothesis.

This study found that, echo chamber is not affected by media diversity. Because of increased political interest, people will be less influenced by echo chambers. In addition, demographic factors affect political interest. People use search engines and social media sites instead of political websites when it comes to the consumption of political news online. People like to communicate with individuals who hold conflicting political views.

Researchers have not yet been able to gain a clear understanding of whether users are in an echo chamber or not and how they are interacting in that environment. Research on this topic is still going on from different perspectives. This study helped to clarify whether or not more media consumption will affect echo chambers. The possibility of being trapped in an echo chamber exists whether we use a single medium or a variety of media. The novelty of this study lies in the use of the echo chamber scale to investigate a thorough understanding of this word through the use of many factors.

The study aims to examine the effectiveness of socially available measures such as concessive messaging, deradicalizing messaging, punishment, and reward in deradicalization, which remains theoretically debatable and empirically unclear and concern social policymakers.

This study surveyed 4,385 Chinese youths in Hong Kong, a special administrative region of China, to clarify the effectiveness.

Results show that receiving concessive messages about radicalism raised radicalism in 2020. Meanwhile, receiving deradicalization messages and rewards reduced radicalism. Receiving punishments for radicalism reduced radicalism when radicalism in 2019 had been high.

These results support social learning theory and imply its usefulness for deradicalization. That is, deradicalization can rely on messaging countering as opposed to conceding to radicalism and reinforcement for deradicalization and against radicalism.

This paper sets out to encompass a comparative analysis of news reports and official police records of TASER deployments from 2002 to 2005.

The methodology involves a content analysis of all LexisNexis and New York Times articles involving police use of the TASER during the study period (n = 353). Regional (New York Times) and national (LexisNexis) news reports describing police use of the TASER are compared with police reports of all TASER deployments by the New York City Police Department (NYPD) during the same timeframe (n = 375).

Descriptive statistics and logistic regression are used to compare the data sources with respect to: the circumstances in which the weapon is deployed; the characteristics of the suspects involved in the TASER incidents; and the significant predictors of continued suspect resistance and repeated use of the TASER by an officer.

The paper examines official police records on TASER deployments from one police agency. This limits the ability to generalize the research findings to other police agencies that have adopted different practices and policies regulating the deployment of CEDs. Additionally, the content analysis includes only articles in the mainstream print media.

The paper concludes with a discussion about some myths associated with news reports on police use of the TASER, and their potential impact on both public perception and police practices.

To date, research has not systematically compared media representations of the TASER with official reports on police deployments of the weapon. That is the focus of this paper.

Social network platforms are considered today as a major communication mean. Their success leads to an unprecedented growth of user-generated content; therefore, finding interesting content for a given user has become a major issue. Recommender systems allow these platforms to personalize individual experience and increase user engagement by filtering messages according to user interest and/or neighborhood. Recent research results show, however, that this content personalization might increase the echo chamber effect and create filter bubbles that restrain the diversity of opinions regarding the recommended content.

The purpose of this paper is to present a thorough study of communities on a large Twitter data set that quantifies the effect of recommender systems on users’ behavior by creating filter bubbles. The authors further propose their community-aware model (CAM) that counters the impact of different recommender systems on information consumption.

The authors propose their CAM that counters the impact of different recommender systems on information consumption. The study results show that filter bubbles effects concern up to 10% of users and the proposed model based on the similarities between communities enhance recommendations.

The authors proposed the CAM approach, which relies on similarities between communities to re-rank lists of recommendations to weaken the filter bubble effect for these users.

In ultrasonic A‐scan technique the depth and the size of the defect in the material can be determined from the position and amplitude of the reflected echo on the cathode ray tube screen. However, the main difficulty in ultrasonic testing is the precise recognition of the defect type. The purpose of this paper is to develop analysis software to interpret defects of single‐v butt‐welded mild steel plates in ultrasonic testing.

This paper establishes a relationship between types of defects in single‐v butt‐welded mild steel plates and the corresponding amplitudes and widths of echo signals, defect positions and beam directions.

Using this relationship it develops analysis software named “ULTRASL‐1” to predict the type of unknown defects by minimizing the effect of the size and geometry of defect on echo amplitude which is the main limitation in using echo amplitude for identification of defect type.

This paper limits for defects like slag, isolated pore, porosity, lack of inter‐run fusion, lack of side‐wall fusion, crack and lack of penetration in single‐v butt‐welded mild steel plates.

The significance of this work is the introduction of a specialized procedure and a software programme to identify type of defect, so that non‐destructive testing personnel with any level of experience can share the expertise of the best operators in the industry. Hence, it will support to reduce one of the main problems concerning ultrasonic testing, i.e. the difficulties in recognition of defect type.

The spread of rumors on social media has caused increasing concerns about an under-informed or even misinformed public when it comes to scientific issues. However, researchers have rarely investigated their diffusion in non-western contexts. This study aims to systematically examine the content and network structure of rumor-related discussions around genetically modified organisms (GMOs) on Chinese social media.

This study identified 21,837 rumor-related posts of GMOs on Weibo, one of China's most popular social media platforms. An approach combining social network analysis and content analysis was employed to classify user attitudes toward rumors, measure the level of homophily of their attitudes and examine the nature of their interactions.

Though a certain level of homophily existed in the interaction networks, referring to the observed echo chamber effect, Weibo also served as a public forum for GMO discussions in which cross-cutting ties between communities existed. A considerable amount of interactions emerged between the pro- and anti-GMO camps, and most of them involved providing or requesting information, which could mitigate the likelihood of opinion polarization. Moreover, this study revealed the declining role of traditional opinion leaders and pointed toward the need for alternative strategies for efficient fact-checking.

In general, the findings of this study suggested that microblogging platforms such as Weibo can function as public forums for discussing GMOs that expose users to ideologically cross-cutting viewpoints. This study stands to provide important insights into the viral processes of scientific rumors on social media.