Examining predictors of online news use: perceived bias in traditional media and preference for partisan news

Info ◽  
2016 ◽  
Vol 18 (4) ◽  
pp. 59-72 ◽  
Author(s):  
Woohyun Yoo ◽  
Dong-Hee Shin
Keyword(s):  
Linear Regression Analysis ◽  
Online News ◽  
The Internet ◽  
Traditional Media ◽  
Predictive Values ◽  
Content Type ◽  
Life Project ◽  
The Impact ◽  
News Use ◽  
Partisan News

Purpose The purpose of this study is to examine, in the context of online news use, the predictive values of two factors: perceived bias in traditional media and preference for partisan news. Design/methodology/approach This study used data collected as part of the Pew Internet and American Life Project between December 28, 2009, and January 19, 2010. The data were analyzed using linear regression analysis. Findings The findings provide evidence of the values of two potentially significant predictors of online news use: a perception of bias in traditional media and preference for partisan news. In addition, higher levels of political partisanship were shown to intensify the positive effect of perceived bias in traditional media on online news use in new media outlets, reinforcing the impact of preference for partisan news on participatory online news use. Research limitations/implications Depending on individual decisions, the internet can either help to empower deliberative democracy (where diverse and different voices coexist) or lead to an extremely polarized society. Originality/value With the explosive growth of the internet as a news source, media scholars have explored the factors that encourage people to rely on the internet for news and information. Nevertheless, certain attributes of online news consumption originating from individual attitudes about and perceptions of the media environment remain underspecified. This research helps advance an understanding of the types of people who seek news online and how they use various sources.

Resisting Political Fragmentation on the Internet

Daedalus ◽  
2011 ◽  
Vol 140 (4) ◽  
pp. 108-120 ◽  
Author(s):  
R. Kelly Garrett ◽  
Paul Resnick
Keyword(s):  
News Media ◽  
Online News ◽  
The Other ◽  
The Internet ◽  
Political Fragmentation ◽  
Software Designers ◽  
The Face ◽  
Desirable Behavior ◽  
Partisan News

Must the Internet promote political fragmentation? Although this is a possible outcome of personalized online news, we argue that other futures are possible and that thoughtful design could promote more socially desirable behavior. Research has shown that individuals crave opinion reinforcement more than they avoid exposure to diverse viewpoints and that, in many situations, hearing the other side is desirable. We suggest that, equipped with this knowledge, software designers ought to create tools that encourage and facilitate consumption of diverse news streams, making users, and society, better off. We propose several techniques to help achieve this goal. One approach focuses on making useful or intriguing opinion-challenges more accessible. The other centers on nudging people toward diversity by creating environments that accentuate its benefits. Advancing research in this area is critical in the face of increasingly partisan news media, and we believe these strategies can help.

scholarly journals Digital Marketing dan Ragam Produk pada Minat Beli Konsumen Toko Online Shopee (Studi Kasus pada Mahasiswa Prodi Manajemen Fakultas Ekonomi Universitas Bhayangkara Jakarta Raya Angkatan 2016)

2019 ◽  
Vol 3 (1) ◽  
pp. 14
Author(s):  
Andrian SE,MM
Keyword(s):  
Digital Media ◽  
Linear Regression Analysis ◽  
Evaluation Process ◽  
Product Variety ◽  
Digital Marketing ◽  
The Internet ◽  
Final Conclusion ◽  
Purposive Sampling ◽  
Department Faculty ◽  
The Impact

            Digital Marketing adalah  merupakan suatu kegiatan pemasaran atau promosi sebuah brand atau produk menggunakan media digital atau internet. Tujuan digital marketing adalah untuk menarik konsumen dan calon konsumen secara cepat. Seperti yang kita tahu, penerimaan teknologi dan internet di masyarakat sangat luas, sehingga tidak heran kegiatan pemasaran secara digital dijadikan pilihan utama oleh perusahaan-perusahaan. Keragaman produk merupakan kumpulan seluruh produk dan barang yang ditawarkan penjual tertentu kepada pembeli. Sedangkan minat beli timbul setelah adanya proses evaluasi alternatif dan di dalam proses evaluasi, seseorang akan membuat suatu rangkaian pilihan mengenai produk yang hendak dibeli atas dasar merek maupun minat. Penelitian ini menggunakan jenis penelitian penjelasan (explanatory research) dengan pendekatan kuantitatif. Variabel yang digunakan dalam penelitian ini ada tiga, yaitu Digital Marketing (X1), Ragam Produk (X2), dan Minat Beli (Y). Pengumpulan data diperoleh melalui penyebaran kuesioner ke sejumlah mahasiswa Jurusan Manajemen Angkatan 2016 Fakultas Ekonomi Universitas Bhayangkara Jakarta Raya. Sampel yang digunakan dalam penelitian ini berjumlah 100 orang responden. Teknik pengambilan sampel yang digunakan adalah purposive sampling. Analisis data yang digunakan adalah analisis deskriptif dan analisis regresi linier berganda dengan metode SPSS versi 22. Penelitian ini menghasilkan kesimpulan akhir bahwa variabel Digital Marketing dan Ragam Produk mempunyai pengaruh yang signifikan pada variabel Minat Beli sebesar 23,8%.The Impact of Digital Marketing and Product Variety towards Purchasing Interest in Online Store Shopee (Case Study to Students of Class of 2016 Management Department Faculty of Economic University of Bhayangkara Jakarta Raya)Abstract            Digital Marketing is an activity of marketing or promoting a brand or product using digital media or the internet. The purpose of digital marketing is to attract consumers and prospective consumers quickly. As we know, the acceptance of technology and the internet in the community is very broad, so it is not surprising that digital marketing activities are made the top choice by companies. Product diversity is a collection of all products and goods offered by certain sellers to buyers. Whereas buying interest arises after the existence of an alternative evaluation process and in the evaluation process, someone will make a series of choices regarding the product to be purchased on the basis of brand and interest. This research uses explanatory research with a quantitative approach. There are three variables used in this research, namely the Digital Marketing (X1), Product Variety (X2), and Purchase Interest (Y). Data collection is obtained through questionnaires distributed to several students of the  Class of 2016 Management Department, Faculty of Economics, University of Bhayangkara Jakarta Raya. The sample used in this research amounted to 100 respondents. The sampling technique used is purposive sampling. Data analysis used is descriptive analysis and multiple linear regression analysis with SPSS version 22. This research produces the final conclusion that the Digital Marketing variable and Product Variety have a significant effect on the Purchase Interest variable as 23.8%.

The determinants of internet risk disclosure: empirical study of Egyptian listed companies

2017 ◽  
Vol 32 (8) ◽  
pp. 746-767 ◽  
Author(s):  
Ali Khalil ◽  
Mona Maghraby
Keyword(s):  
Listed Companies ◽  
Ordinary Least Squares ◽  
Risk Information ◽  
The Internet ◽  
Least Squares Regression ◽  
Risk Disclosure ◽  
Content Type ◽  
Reporting Practices ◽  
Board Characteristics ◽  
The Impact

Purpose The purpose of this paper is to contribute to the existing disclosure literature by examining the determinants of corporate risk disclosure (CRD) in the internet reporting for a sample of Egyptian listed companies on the Egyptian Stock Exchange (EGX). Design/methodology/approach This study depends on a sample of 76 Egyptian companies included in the EGX 100 in the period 2012-2014. The study applies a content analysis and uses a sentence-based method to measure CRD in the internet reporting. Ordinary least-squares regression analysis is used to examine the impact of firm and board characteristics on CRD in the internet reporting. Findings The empirical analysis shows that large Egyptian companies tend to disclose more risk information in their internet reporting. Moreover, the results indicate that there is a significant positive association between sector type and CRD in the internet reporting. The results show non-significant association between CRD and other firm characteristics (cross listing and level of risk). Finally, there are no significant associations between CRD and board characteristics variables (board size, board composition and CEO duality). Research limitations/implications The study’s findings have practical implications. It aids in informing policy makers considering implementing new economic reform programs about the properties of Egyptian companies that disclose risk information in their internet reporting. It provides insights on CRD in Egyptian companies for standards setters and professional authorities to improve risk reporting practices to help stakeholders in making good decisions. Originality/value This study is one of the first studies to examine the determinants of CRD in the internet reporting for a sample of Egyptian companies.

The Digital Divide and Social Equity

2008 ◽  
pp. 294-302
Author(s):  
Alfred P. Rovai ◽  
Emery M. Petchauer
Keyword(s):  
African Americans ◽  
Present Article ◽  
Social Equity ◽  
Internet Usage ◽  
The Political ◽  
The Internet ◽  
American Life Project ◽  
Life Project ◽  
Equitable Treatment ◽  
The Impact

The Pew Internet and American Life Project (Pew/Internet; Lenhart, Horrigan, Rainie et al., 2003) reports 42 percent of Americans say they do not use the Internet, with 24 percent being truly off-line with no direct or indirect experience with the Internet. However, these percentages represent averages and don’t pertain uniformly across all subpopulations. Pew/Internet (Fox, 2005) reports Americans age 65 and older, African-Americans, and those with less education lag behind others in Internet usage. The present article examines the impact of these differences on social equity in terms of receiving fair, just, and equitable treatment by the political system regarding public policies and services.

Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rajeesh Kumar N.V. ◽  
Arun M. ◽  
Baraneetharan E. ◽  
Stanly Jaya Prakash J. ◽  
Kanchana A. ◽  
...  
Keyword(s):  
New Technologies ◽  
Specific Treatment ◽  
Lung Damage ◽  
World Health ◽  
Smart Devices ◽  
The Internet ◽  
Content Type ◽  
The People ◽  
The World ◽  
The Impact

Purpose Many investigations are going on in monitoring, contact tracing, predicting and diagnosing the COVID-19 disease and many virologists are urgently seeking to create a vaccine as early as possible. Even though there is no specific treatment for the pandemic disease, the world is now struggling to control the spread by implementing the lockdown worldwide and giving awareness to the people to wear masks and use sanitizers. The new technologies, including the Internet of things (IoT), are gaining global attention towards the increasing technical support in health-care systems, particularly in predicting, detecting, preventing and monitoring of most of the infectious diseases. Similarly, it also helps in fighting against COVID-19 by monitoring, contract tracing and detecting the COVID-19 pandemic by connection with the IoT-based smart solutions. IoT is the interconnected Web of smart devices, sensors, actuators and data, which are collected in the raw form and transmitted through the internet. The purpose of this paper is to propose the concept to detect and monitor the asymptotic patients using IoT-based sensors. Design/methodology/approach In recent days, the surge of the COVID-19 contagion has infected all over the world and it has ruined our day-to-day life. The extraordinary eruption of this pandemic virus placed the World Health Organization (WHO) in a hazardous position. The impact of this contagious virus and scarcity among the people has forced the world to get into complete lockdown, as the number of laboratory-confirmed cases is increasing in millions all over the world as per the records of the government. Findings COVID-19 patients are either symptomatic or asymptotic. Symptomatic patients have symptoms such as fever, cough and difficulty in breathing. But patients are also asymptotic, which is very difficult to detect and monitor by isolating them. Originality/value Asymptotic patients are very hazardous because without knowing that they are infected, they might spread the infection to others, also asymptotic patients might be having very serious lung damage. So, earlier prediction and monitoring of asymptotic patients are mandatory to save their life and prevent them from spreading.

The impact of Benin’s first public procurement code and its amendment on healthcare equipment acquisition prices

2018 ◽  
Vol 18 (4) ◽  
pp. 306-322 ◽  
Author(s):  
Pamphile Thierry Houngbo ◽  
Maikel Kishna ◽  
Marjolein Zweekhorst ◽  
Daton Medenou ◽  
Joske G.F. Bunder-Aelen
Keyword(s):  
Health Care ◽  
Time Series Data ◽  
Good Governance ◽  
Public Procurement ◽  
Linear Regression Analysis ◽  
Interrupted Time Series ◽  
Series Data ◽  
Content Type ◽  
The Impact ◽  
Health Care Equipment

PurposeTo satisfy donors and reduce public procurement acquisition prices, Benin has implemented and amended its first public procurement code guided by top-down principles of good governance.Design/methodology/approachThis study aims to measure the impact of the code and its amendment on public procurement acquisition prices of health-care equipment from 1995 to 2010.FindingsA segmented linear regression analysis was performed using interrupted time-series data. The analysis shows that the code and its amendment did not reduce acquisition prices, indicating the limited impact of the code. The authors recommend the implementation of bottom-up processes in establishing the public procurement system, and the development of a reference pricelist of the most widely used health-care equipment, as possible solutions for improving the effectiveness of the code.

Challenges to ethical publishing in the digital era

2016 ◽  
Vol 14 (1) ◽  
pp. 4-15 ◽  
Author(s):  
Mirjam Jessica Curno
Keyword(s):  
Design Methodology ◽  
New Technologies ◽  
Electronic Publishing ◽  
The Internet ◽  
Publication Ethics ◽  
Electronic Information ◽  
Content Type ◽  
Digital Era ◽  
The Impact

Purpose – The aim of this paper is to lay out some of the more complex issues arising in the area of publication ethics. The impact of electronic publishing and electronic information is a main focus of the paper. Design/methodology/approach – The paper draws in particular upon the work of the Committee on Publication Ethics including illustrative cases discussed at the forum, guidelines and discussion documents. Findings – Three areas are highlighted to stimulate discussion around challenges of publication ethics in the digital era. These are the role of the internet in facilitating misconduct, the issue of confidentiality in publishing and how incentives in research assessments drive author behavior. Originality/value – The paper brings together a variety of issues discussed under the broader umbrella of electronic information and new technologies in publishing.

A crisis of consumers’ trust in scientists and its influence on consumer attitude toward genetically modified foods

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Haiyan Deng ◽  
Ruifa Hu
Keyword(s):  
Genetically Modified ◽  
The Internet ◽  
Chinese Consumers ◽  
Content Type ◽  
Gm Foods ◽  
The Media ◽  
The Government ◽  
The Impact ◽  
Biotech Products ◽  
Gm Technology

Purpose The purpose of this paper is to examine Chinese consumers’ attitudes toward genetically modified (GM) foods and the impact that consumers’ trust in different actors – GM scientists, non-GM scientists or individuals, the government and the media, has on their attitudes. Design/methodology/approach Consumers in Beijing were surveyed about their attitudes toward GM foods and their trust in different actors. The surveys were conducted from June to July of 2015. The sample size is 1,460 people. Given the potential endogeneity of trust variable, bivariate probit models are employed to estimate the impact of trust in different actors on consumers’ attitudes. Findings The results show that 55 percent of the Chinese consumers are opposed to GM foods and nearly 60 percent do not trust GM scientists. In total, 42 percent of Chinese consumers trust in the government and 39 percent trust the non-GM scientists or individuals. Around 35 percent of consumers believe the misinformation on GM technology that were provided by the media. Trust in the GM scientists and trust in the government have a significant positive impact on consumers’ acceptance of GM foods while trust in the non-GM scientists or individuals and believing the misinformation have a significant negative effect on the acceptance. Nearly 70 percent of Chinese consumers acquired information about GM food safety from the internet or via WeChat. Consumers who acquired GM technology information from the internet or via WeChat are less likely to embrace GM foods than those who obtain information from other sources. Originality/value Consumer trust plays a crucial role to accept biotech products in the market and it is crucial for producers, policy makers and consumers to have faith in new biotech products. The results of this study suggest that the government and GM scientists should make more effort to gain the trust and support of consumers, while the media should provide objective reports on GM products based on scientific evidence.

Financial performance of small farm business households: the role of internet

2016 ◽  
Vol 8 (4) ◽  
pp. 553-571 ◽  
Author(s):  
Aditya R. Khanal ◽  
Ashok K. Mishra
Keyword(s):  
Household Income ◽  
Internet Usage ◽  
Farm Households ◽  
Farm Income ◽  
The Internet ◽  
Small Farm ◽  
Content Type ◽  
Total Household Income ◽  
Farm Business ◽  
The Impact

Purpose The purpose of this paper is to investigate the impact of internet usage on financial performance of small farm business households in the USA. In particular, the authors want to assess the impact of internet usage on small farm businesses, where the owner’s main occupation is farming. Using a nationwide farm-level data in the USA and a non-parametric matching estimator, the study finds a significant positive impact of internet usage on gross cash income, total household income, off-farm income. The study further suggests that small farm businesses receive benefits from internet usage as it facilitates reduction in income risk through off-farm income sources, as well as a reduction in marketing and storage costs; households’ non-farm transportation and vehicle leasing expenses. Design/methodology/approach In this study, the authors use the “nearest neighbors” matching method in treatment evaluation, developed by Abadie and Imbens (2002). In this method, a weighting index is applied to all observations and “nearest neighbors” are identified (Abadie et al., 2004). Although matching estimation through the nearest neighbor method does not require probit or logit model estimation per se, the authors have estimated a probit model because it allows the authors to check the balancing property and to analyze the association of included variables with the likelihood of internet use. Findings The study suggests that small farm business households using the internet are better off in terms of total household income and off-farm income. As compared to the control group (which is counterfactual, representation of small farm businesses not using the internet), small farm businesses using the internet earn about $24,000-$26,000 more in total household income and about $27,000-$28,000 more in off-farm income. Also, small farm businesses using the internet earn about $4,100-$4,900 more in gross cash farm income compared to their counterpart. The estimate of ATT for NFI is not different from zero. However, gross cash farm revenue increased significantly. Practical implications To this end internet can provide an important role in information gathering. Internet is one of the convenient means to access and exchange information. Information and communication facilitation through internet have opened up new areas of commerce, social networking, information gathering, and recreational activities beyond a geographical bound. Producers and consumers can take advantages of internet in both collaborative and competitive aspects in economic activities as it can reduce the information asymmetries among economic agents. Social implications Farmers will seek assistance in interpreting data and applying information to their farming operations, via the internet. Therefore, it is essential that land grant universities continue to improve the delivery of electronic extension and provide information in a clear and concise manner. Originality/value Studies in farm households have mainly investigated factors influencing internet adoption, purchasing patterns through internet, internet use, and applications. In most cases, impact analyses of communication and information technologies such as internet in agricultural businesses are discussed with references to large scale farm businesses. Thus, the authors know very little about access to the internet when it comes to small farm businesses and small farm households and about how it impacts well-being of small farm households.

Employment performance in times of crisis

2015 ◽  
Vol 25 (4) ◽  
pp. 371-391 ◽  
Author(s):  
Julian Kahl ◽  
Christian Hundt
Keyword(s):  
Firm Growth ◽  
Global Financial Crisis ◽  
Linear Regression Analysis ◽  
Economic Benefits ◽  
Levels Of Analysis ◽  
External Shocks ◽  
Economic Resilience ◽  
Content Type ◽  
Regional Clusters ◽  
The Impact

Purpose – The purpose of this study is to elucidate the determinants of economic resilience at various levels of analysis. While the economic benefits of regional clustering are well-documented, the impact of external shocks on regional clusters has only recently gained attention. This study explores the antecedents of economic resilience, defined as sustained employment growth, prior to and during the global financial crisis within the German biotechnology industry. Design/methodology/approach – This study combines multilevel linear regression analysis with egocentric network analysis. This allows us to distinguish micro- and context-level effects in the analysis of economic resilience. Findings – The findings of this study indicate that while specialization at the network and context-level is conducive to firm growth prior to the crisis, these configurations seem to be particularly susceptible to external shocks. Conversely, diversity (diversified regional agglomerations and diverse networks) seems to be associated with economic resilience during the crisis. Moreover, we find that economic resilience is connected to adaptive capability at the micro-level, that is, the ability to expand and diversify a firms’ portfolio of network ties in the face of an external shock. Finally, we show that these adaptive processes are facilitated by geographical proximity among collaborating organizations. Originality/value – This study contributes to the existing literature by showing that the antecedents of economic resilience are located at multiple levels of analysis. An important implication of this study is that the examination of the resilience of regional clusters may thus be significantly enhanced by disentangling effects at the firm, network and regional (i.e. context) level.

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