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1 – 10 of over 124000This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments…
Abstract
Purpose
This study argues that online user comments on social media platforms provide feedback and evaluation functions. These functions can provide services for the relevant departments of organizations or institutions to formulate corresponding public opinion response strategies.
Design/methodology/approach
This study considers Chinese universities’ public opinion events on the Weibo platform as the research object. It collects online comments on Chinese universities’ network public opinion governance strategy texts on Weibo, constructs the sentiment index based on sentiment analysis and evaluates the effectiveness of the network public opinion governance strategy adopted by university officials.
Findings
This study found the following: First, a complete information release process can effectively improve the effect of public opinion governance strategies. Second, the effect of network public opinion governance strategies was significantly influenced by the type of public opinion event. Finally, the effect of public opinion governance strategies is closely related to the severity of punishment for the subjects involved.
Research limitations/implications
The theoretical contribution of this study lies in the application of image repair theory and strategies in the field of network public opinion governance, which further broadens the scope of the application of image repair theory and strategies.
Originality/value
This study expands online user comment research to network public opinion governance and provides a quantitative method for evaluating the effect of governance strategies.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-05-2022-0269
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Sujie Hu, Yuting Qian and Sumin Hu
The purpose of this study is to explore the economic impact of financial restatements by major customers on the audit opinion of their suppliers, showing that non-financial…
Abstract
Purpose
The purpose of this study is to explore the economic impact of financial restatements by major customers on the audit opinion of their suppliers, showing that non-financial information disclosure potentially helps auditors make better assessments.
Design/methodology/approach
Using a sample of China’s listed firms from 2007 to 2021, the authors aim to find the relationship between customers’ financial restatements and their suppliers’ audit opinions. Heckman selection model, placebo tests and other robustness checks are used as well.
Findings
The findings reveal that customers’ financial restatements have a significant effect on the likelihood of suppliers receiving modified audit opinions. This relationship is pronounced when suppliers face a higher level of financial constraints, exhibit poorer accounting conservatism or receive more negative media coverage. Additionally, this effect occurs through increased business risk and information risk, which heightens auditors’ perceived audit risk. Moreover, the study highlights the influence of switching costs, auditor expertise and restatement severity on this relationship.
Practical implications
Risks originating from customers can spread along the supply chain, emphasizing the necessity for auditors to give heightened attention to both the audited firms and their customer information. Moreover, regulators should carefully consider the important impact of customer information disclosures to maximize the protection of the interests of external information users.
Originality/value
This study not only confirms the crucial role of customer information disclosures in annual reports for stakeholders and auditors but also contributes to the existing literature on customer–supplier relationships.
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Masaki Samejima, Daichi Hisakane and Norihisa Komoda
The purpose of this paper is to annotate an attribute of a problem, a solution or no annotation on learners’ opinions automatically for supporting the learners’ discussion without…
Abstract
Purpose
The purpose of this paper is to annotate an attribute of a problem, a solution or no annotation on learners’ opinions automatically for supporting the learners’ discussion without a facilitator. The case method aims at discussing problems and solutions in a target case. However, the learners miss discussing some of problems and solutions.
Design/methodology/approach
Because opinions about problems and solutions on the same case are similar to each other, the proposed method uses opinions that are correctly annotated in past discussions for annotating an appropriate attribute on each opinion in discussions of the same case. The annotation on each opinion is identified by Support Vector Machine learned with opinions and annotations in the past discussion.
Findings
Compared to a simple method that uses decision tree classification, this proposed method improves the recall rate and the precision rate of annotating the attribute by over 10 per cent. The proposed method is effective for automatic annotation.
Originality/value
Because the recall rate and the precision rate of annotating an attribute of a problem are over 80 per cent, it is possible to make learners aware of problems that they should discuss. On the other hand, the recall rate and the precision rate of annotating an attribute of a solution are still low. The authors discuss the research issue to improve the rates for automatic annotation.
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Richard Parrino, Douglas Schwab and David Wertheimer
The purpose of this article is to examine the US Supreme Court’s much anticipated decision in Omnicare, Inc. v. Laborers Dist. Council Const. Indus. Pension Fund. In this 2015…
Abstract
Purpose
The purpose of this article is to examine the US Supreme Court’s much anticipated decision in Omnicare, Inc. v. Laborers Dist. Council Const. Indus. Pension Fund. In this 2015 case, the Supreme Court announced important principles for interpreting the application of the two bases for liability under Section 11 of the Securities Act of 1933 to statements of opinion expressed in registration statements filed with the Securities and Exchange Commission in connection with public securities offerings.
Design/methodology/approach
The article examines the Supreme Court’s articulation of the standards federal courts must apply under Section 11 to determine if opinion statements were untrue statements of a material fact or misleading because they omitted material facts necessary to make the statements of opinion not misleading. The paper identifies a number of the complexities involved in the Supreme Court’s approach and emphasizes the nuanced assessment of the facts surrounding opinion statements courts will be required to undertake by Omnicare.
Findings
The Omnicare decision has significant implications for the litigation of Section 11 claims challenging statements of opinion and for the preparation of registration statement disclosures. The Omnicare decision dramatically alters the standards for reviewing Section 11 claims premised on opinions long applied in a number of US federal appellate circuits. The decision is likely to result in more Section 11 claims based on supposedly misleading opinion statements, and potentially in a greater number of Section 11 claims that survive at least an initial motion to dismiss. Omnicare highlights the importance of including in registration statement disclosures meaningful cautionary statements identifying important facts that could cause actual outcomes to differ materially from views expressed in an opinion.
Originality/value
Expert guidance from experienced financial services lawyers.
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This chapter discusses the development of public opinion polls in Malaysia, especially those related to politics and elections in the state. It traces the early attempts at public…
Abstract
This chapter discusses the development of public opinion polls in Malaysia, especially those related to politics and elections in the state. It traces the early attempts at public opinion polls and their relatively recent development in estimating electoral outcomes in Malaysia. In analysing the efforts, the chapter relates the conduct of opinion polls with changing trends in Malaysia’s elections, particularly the shift from a dominant party system to one of two-coalition systems since the 12th general elections (GE12) in 2008. The chapter also discusses the role of the various actors who are involved in opinion polling, and the usual contents in such polls. It evaluates the possibility and difficulty of the polls in estimating outcomes of elections. In view of the new norms developing since the spread of COVID-19 in 2020, the chapter also explores the challenges and opportunities of public opinion polls in articulating public sentiment.
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The very contextual nature of most mitigating evidence runs counter to America’s individualistic culture. Prior research has found that capital jurors are unreceptive to most…
Abstract
The very contextual nature of most mitigating evidence runs counter to America’s individualistic culture. Prior research has found that capital jurors are unreceptive to most mitigating circumstances, but no research has examined the capital sentencing decisions of trial judges. This study fills that gap through a content analysis of eight judicial sentencing opinions from Delaware. The findings indicate that judges typically dismiss contextualizing evidence in their sentencing opinions and instead focus predominately on the defendant’s culpability. This finding calls into question the ability of guided discretion statutes to ensure the consideration of mitigation and limit arbitrariness in the death penalty.
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Labeeba Kothur and Vidushi Pandey
This paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the…
Abstract
Purpose
This paper aims to investigate the mechanisms through which social media news consumption across different platforms leads to opinion polarization in society. To this end, the authors draw from cultivation theory to examine whether social media news consumption imparts a mainstreaming or resonance effect. Media consumption imparts a mainstreaming effect if frequent users, regardless of their social identity, develop homogenous attitudes about issues, whereas resonance is at play if there is a differing cultivation effect on various social groups depending on their relatability of life experiences.
Design/methodology/approach
The authors conduct the study in the developing context of India, using a population survey dataset from 2019. Regression-based mediation and moderation analyses were carried out to test the hypotheses.
Findings
The findings reveal that resonance is the most prominent mechanism through which social media news consumption cultivates opinion polarization, contrary to the mainstreaming effect imparted by television. Further, WhatsApp use was found to strengthen the polarizing effect of overall social media news consumption, while YouTube use weakened the cultivation of polarization.
Research limitations/implications
The paper unearths how social media news consumption influences the opinion polarization of various social groups differently. The authors also find the differential effect of specific platform use. These findings have the potential to inform policymakers and developers about how to mitigate the detrimental effects of platform-based political persuasion.
Originality/value
This study offers significant contributions. First, the authors explain social media-induced polarization using the novel theoretical lens of cultivation. Second, the authors find that social media and television news consumption differ in their polarizing effects. Third, the authors find that while WhatsApp use amplifies the polarizing effect of social media news consumption, YouTube use weakens it.
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Lin Chen, Junbo Wang, Chunchi Wu and Hongquan Zhu
Although stock price co-movement has been examined extensively, its causes are not well understood. Using a decomposition method, we extract three information components from the…
Abstract
Although stock price co-movement has been examined extensively, its causes are not well understood. Using a decomposition method, we extract three information components from the turnover rate: market information, firm-specific information, and investors' opinion divergence. We find that market information strengthens stock price co-movement, whereas firm-specific information weakens it. Moreover, our analysis shows that divergence of investors' opinion increases stock price variations but weakens price co-movement.
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One of the factors that make the divination of public opinion compelling is the decline of party systems and the rise of “individuated politics” (Dalton, 2002a, 2002b, 2006). If…
Abstract
One of the factors that make the divination of public opinion compelling is the decline of party systems and the rise of “individuated politics” (Dalton, 2002a, 2002b, 2006). If individuals are now the major actors in politics and have volatile opinions, then finding out what opinions sectors of the public have, and attempting to shape them, becomes crucial. This circumstance makes the inspection and analysis of mass opinion compelling and significant (see Ginsberg, 1986; Ginsberg & Shefter, 1990; Herbst, 1993). It also makes “public opinion” a compelling abstraction and political force. Finding it and divining its meaning has spawned its own organizational structures and constituencies.