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Article
Publication date: 18 January 2008

Teresa Agirreazaldegi

This paper aims to take, as a starting point, the contribution of audiovisual documentation to TV news programs, the impact of digitalisation in the organisation and…

Abstract

Purpose

This paper aims to take, as a starting point, the contribution of audiovisual documentation to TV news programs, the impact of digitalisation in the organisation and design of audiovisual documentation's services is analysed.

Design/methodology/approach

Data, collected by a quantitative and qualitative research on: the use of audiovisual documentation in the news, documentation requests processed by journalists, and the study of the operation of documentation services of six TV stations, serve as a basis to analyse the factors that must be taken into account when it comes to designing query systems of digital audiovisual documentation, so that these systems meet the needs of journalists and can be used with satisfactory results by the users.

Findings

Audio‐visual documentation is one of the constituent elements of TV information on current events, as much for its quantitative presence (40 percent of the news) as for its qualitative contribution to news messages, as well as for its general use in all the news sections. Audiovisual documentation has a greater presence in important news, and can carry out informative, completive or illustrative functions. News programs use the audiovisual documentation that these same programs have generated, using it mainly as a purely visual documentation. In documentation services, the journalist asks mainly for people's images and, to a lesser extent, formal groups and the news. A second group of categories collects around 10 percent of requests: places, animal‐thing, natural phenomena, informal group; while the remaining categories (concept and work) have a marginal incidence. The analysis of documentation use in the news, as well as of the content of requests made by the journalists, offers important clues when it come to designing documentary information systems, specially regarding the analysis of audiovisual douments and databases' query, used directly by the end user.

Research limitations/implications

Collected data regarding analogue TV are used to make forecasts about what should be documentation in digital TV.

Originality/value

The detailed analysis of the use of audiovisual documentation in the news, as well as of the requests made by the journalists to documentation services, constitutes an important guide when it comes to successfully designing the new digital systems of audiovisual documentation.

Details

Aslib Proceedings, vol. 60 no. 1
Type: Research Article
ISSN: 0001-253X

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Article
Publication date: 18 May 2021

Prajwal Eachempati and Praveen Ranjan Srivastava

A composite sentiment index (CSI) from quantitative proxy sentiment indicators is likely to be a lag sentiment measure as it reflects only the information absorbed in the…

Abstract

Purpose

A composite sentiment index (CSI) from quantitative proxy sentiment indicators is likely to be a lag sentiment measure as it reflects only the information absorbed in the market. Information theories and behavioral finance research suggest that market prices may not adjust to all the available information at a point in time. This study hypothesizes that the sentiment from the unincorporated information may provide possible market leads. Thus, this paper aims to discuss a method to identify the un-incorporated qualitative Sentiment from information unadjusted in the market price to test whether sentiment polarity from the information can impact stock returns. Factoring market sentiment extracted from unincorporated information (residual sentiment or sentiment backlog) in CSI is an essential step for developing an integrated sentiment index to explain deviation in asset prices from their intrinsic value. Identifying the unincorporated Sentiment also helps in text analytics to distinguish between current and future market sentiment.

Design/methodology/approach

Initially, this study collects the news from various textual sources and runs the NVivo tool to compute the corpus data’s sentiment polarity. Subsequently, using the predictability horizon technique, this paper mines the unincorporated component of the news’s sentiment polarity. This study regresses three months’ sentiment polarity (the current period and its lags for two months) on the NIFTY50 index of the National Stock Exchange of India. If the three-month lags are significant, it indicates that news sentiment from the three months is unabsorbed and is likely to impact the future NIFTY50 index. The sentiment is also conditionally tested for firm size, volatility and specific industry sector-dependence. This paper discusses the implications of the results.

Findings

Based on information theories and empirical findings, the paper demonstrates that it is possible to identify unincorporated information and extract the sentiment polarity to predict future market direction. The sentiment polarity variables are significant for the current period and two-month lags. The magnitude of the sentiment polarity coefficient has decreased from the current period to lag one and lag two. This study finds that the unabsorbed component or backlog of news consisted of mainly negative market news or unconfirmed news of the previous period, as illustrated in Tables 1 and 2 and Figure 2. The findings on unadjusted news effects vary with firm size, volatility and sectoral indices as depicted in Figures 3, 4, 5 and 6.

Originality/value

The related literature on sentiment index describes top-down/ bottom-up models using quantitative proxy sentiment indicators and natural language processing (NLP)/machine learning approaches to compute the sentiment from qualitative information to explain variance in market returns. NLP approaches use current period sentiment to understand market trends ignoring the unadjusted sentiment carried from the previous period. The underlying assumption here is that the market adjusts to all available information instantly, which is proved false in various empirical studies backed by information theories. The paper discusses a novel approach to identify and extract sentiment from unincorporated information, which is a critical sentiment measure for developing a holistic sentiment index, both in text analytics and in top-down quantitative models. Practitioners may use the methodology in the algorithmic trading models and conduct stock market research.

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Article
Publication date: 13 June 2016

Woohyun Yoo and Dong-Hee Shin

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…

Abstract

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.

Details

info, vol. 18 no. 4
Type: Research Article
ISSN: 1463-6697

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Article
Publication date: 16 January 2009

Thomas B. Christie

The purpose of this paper is to reveal perceptions of news organization bias among people who use the internet.

Abstract

Purpose

The purpose of this paper is to reveal perceptions of news organization bias among people who use the internet.

Design/methodology/approach

Data for this study were drawn from the Pew Research Center June 2005 News Interest Index. Respondents were asked if news organizations were politically biased in their reporting. Another question asked respondents if news organizations had a liberal or conservative bias. The final question asked respondents to judge news organization bias on political and social issues.

Findings

In two of the three perceptions of internet user/non‐user ratings of ideological bias in news organizations, internet news users surveyed rate news organizations as more biased than non‐users. However, when asked to ascertain either liberal or conservative bias in news organizations, non‐internet news users were more likely to claim that news organizations were biased.

Research limitations/implications

More valid measures of the dimension of liberal and conservative bias could help in analyzing the effect of this particular variable on the use of the internet for news. Also, there is the possibility of some confusion in identifying internet news sources.

Practical implications

Advertising revenue of traditional media could decline as news use shifts to internet sources, and customers of the traditional US news networks would continue to migrate to the internet.

Originality/value

As this new media technology has the potential to reach new markets throughout the world, consumers who perceive that traditional news media are ideologically biased may favor the new medium over more traditional sources of news.

Details

Competitiveness Review: An International Business Journal, vol. 19 no. 1
Type: Research Article
ISSN: 1059-5422

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Article
Publication date: 26 January 2021

Rebecca Scheffauer, Manuel Goyanes and Homero Gil de Zúñiga

Traditionally, most readers' news access and consumption were based on direct intentional news seeking behavior. However, in recent years the emergence and popularization…

Abstract

Purpose

Traditionally, most readers' news access and consumption were based on direct intentional news seeking behavior. However, in recent years the emergence and popularization of social media platforms have enabled new opportunities for citizens to be incidentally informed about public affairs and politics as by-product of using these platforms. This article seeks to shed light on how socio-political conversation attributes may explain incidental exposure to information.

Design/methodology/approach

Drawing on US and UK survey data, the authors explore the role of political discussion and discussion network heterogeneity in predicting individuals' levels of incidental exposure to news. Furthermore, the authors also test the role of social media news use as a moderator. A hierarchical OLS regression analysis with incidental news exposure as dependent variable was conducted as well as analyses of moderation effects (heterogeneity*social media and political discussion*social media) using the PROCESS macro in SPSS.

Findings

Findings reveal that heterogeneous networks are positively related to incidental news exposure in the UK, while sheer level of political discussion is a positive influence over incidental news exposure in the US. Social media news use moderates the relationship between political discussion and incidental news exposure in the UK. That is, those who are highly exposed to news on social media and discuss less often about politics and public affairs, they tend to be incidentally exposed to news online the most. Meanwhile, the interaction of social media news and discussion heterogeneity showed significant results in the US with those exhibiting high levels of both also receiving the biggest share of INE.

Originality/value

This study contributes to closing research gaps regarding how and when people are inadvertently exposed to news in two Western societies. By highlighting that beyond the fate of algorithmic information treatment by social media platforms, discussion antecedents as well as social media news use play an integral part in predicting incidental news exposure, the study unravels fundamental conditions underlying the incidental news exposure phenomenon.

Details

Online Information Review, vol. 45 no. 3
Type: Research Article
ISSN: 1468-4527

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Article
Publication date: 23 July 2018

Miao Yu and Chonghui Guo

The purpose of this paper is to propose an approach for predicting the movements of Chinese medicinal material price indexes using news based on text mining.

Abstract

Purpose

The purpose of this paper is to propose an approach for predicting the movements of Chinese medicinal material price indexes using news based on text mining.

Design/methodology/approach

A research framework and three major methods, namely, domain dictionary construction, market convergence time calculation and dimensionality reduction integrating semantic analysis, are proposed for the approach. The proposed approach is applied in practice for predicting the price index movements of the top ten Chinese medicinal materials that receive the greatest media attention.

Findings

A set of experiments performed herein show that a predictive relationship exists between the news and the commodity market and that each of the three major methods improves the forecasting performance.

Research limitations/implications

Because the field of Chinese medicinal materials lacks a corpus that can be used for sentiment analysis, the accuracy of a trained automatic sentiment classifier is lower than obtained by a manual method, which can cause the calculated convergence result to be inaccurate, thus affecting the final prediction model. The manual method of having people label news decreases the proposed method’s aspects of being intelligent and automatic.

Practical implications

Using the method proposed herein to predict the trends in Chinese medicinal materials prices helps farmers arrange a reasonable planting plan to pursue their best interests.

Social implications

The method proposed herein to predict the trends in the prices of Chinese medicinal materials is conducive to the government arranging planned drug availabilities in order to avoid disasters in which herbs are looted.

Originality/value

The produced prediction result is meaningful in supporting farmers and investors to make better decisions in growing and trading Chinese medicinal material, which leads to financial returns on investments and the avoidance of severe losses.

Details

Industrial Management & Data Systems, vol. 118 no. 5
Type: Research Article
ISSN: 0263-5577

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Article
Publication date: 17 April 2020

Ellen Haggar

The purpose of this paper is to analyse George Orwell's diaries through an information literacy lens. Orwell is well known for his dedication to freedom of speech and…

Abstract

Purpose

The purpose of this paper is to analyse George Orwell's diaries through an information literacy lens. Orwell is well known for his dedication to freedom of speech and objective truth, and his novel Nineteen Eighty-Four is often used as a lens through which to view the fake news phenomenon. This paper will examine Orwell's diaries in relation to UNESCO's Five Laws of Media and Information Literacy to examine how information literacy concepts can be traced in historical documents.

Design/methodology/approach

This paper will use a content analysis method to explore Orwell's relationship to information literacy. Two of Orwell's political diaries from the period 1940–42 were coded for key themes related to the ways in which Orwell discusses and evaluates information and news. These themes were then compared to UNESCO Five Laws of Media and Information Literacy. Textual analysis software NVivo 12 was used to perform keyword searches and word frequency queries in the digitised diaries.

Findings

The findings show that while Orwell's diaries and the Five Laws did not share terminology, they did share ideas on bias and access to information. They also extend the history of information literacy research and practice by illustrating how concerns about the need to evaluate information sources are represented within historical literature.

Originality/value

This paper combines historical research with textual analysis to bring a unique historical perspective to information literacy, demonstrating that “fake news” is not a recent phenomenon, and that the tools to fight it may also lie in historical research.

Details

Journal of Documentation, vol. 76 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

Content available
Article
Publication date: 12 September 2016

Judith Moeller, Damian Trilling, Natali Helberger, Kristina Irion and Claes De Vreese

This paper aims to shed light on the impact of personalized news media on the shared issue agenda that provides democracies with a set of topics that structure the public…

Abstract

Purpose

This paper aims to shed light on the impact of personalized news media on the shared issue agenda that provides democracies with a set of topics that structure the public debate. The advent of personalized news media that use smart algorithms to tailor the news offer to the user challenges the established way of setting the agenda of such a common core of issues.

Design/methodology/approach

This paper tests the effects of personalized news use on perceived importance of these issues in the common core. In particular, the authors study whether personalized news use leads to a concentration at the top of the issue agenda or to a more diverse issue agenda with a long tail of topics.

Findings

Based on a cross-sectional survey of a representative population sample (n = 1,556), we find that personalized news use does not lead to a small common core in which few topics are discussed extensively, yet there is a relationship between personalized news use and a preference for less discussed topics. This is a result of a specific user profile of personalized news users: younger, more educated news users are more interested in topics at the fringes of the common core and also make more use of personalized news offers.

Research limitations/implications

The results are discussed in the light of media diversity and recent advances in public sphere research.

Originality/value

This paper contributes to the ongoing debate about algorithmic news dissemination. While, currently, much attention is reserved for the role of platforms as information gatekeepers in relationship to the news media, maybe their ability to enable or hinder the audience in discovering and distributing news content is part of what really characterizes their influence on the market place of ideas.

Details

info, vol. 18 no. 6
Type: Research Article
ISSN: 1834-7649

Keywords

Content available
Book part
Publication date: 11 November 2019

Deb Aikat

Dubbed as the “first digital generation,” the millennials (or Generation Y) have been ensconced in digital technologies throughout their lives. As a demographic cohort…

Abstract

Dubbed as the “first digital generation,” the millennials (or Generation Y) have been ensconced in digital technologies throughout their lives. As a demographic cohort, the eldest members of Generation Y were the first to reach adulthood by 2001, which heralded the third millennium, and were, therefore, called the millennials.

This research study theorizes that the millennials are ushering an emerging post-digital era that is redefining how we live, work, and play. By situating media consumption within a cross-disciplinary context of mediated engagement, this study analyzed how millennials consume media based on a 2019 meta-analytical research analysis of 22 cross-disciplinary studies, published between 2015 and 2019.

This research study analyzes how millennials curate and engage with digital media and information content in the midst of incessant evolutions of their identity, media use, and digital life. This study explicates six theoretical insights into how millennials consume information and engage with media. In their pursuit of easy access to media, the millennials get most of their information and media content from social media.

In theorizing how millennials engage with digital media, this study explicates important conceptual trends such as incidental news exposure (INE), which refers to people stumbling upon news stories they otherwise would not have purposefully seen or sought. INE spawns “bumpers” who involuntarily bump into news items, as opposed to “seekers” who actively search or seek news content. This leads to the news-finds-me mindset among some passive news consumers who rely and expect other active news consumers to share important news and information.

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Article
Publication date: 14 July 2020

Nadine Strauß, Laura Alonso-Muñoz and Homero Gil de Zúñiga

The purpose of this study is to identify the structural processes that lead citizens to escape their common social circles when talking about politics and public affairs…

Abstract

Purpose

The purpose of this study is to identify the structural processes that lead citizens to escape their common social circles when talking about politics and public affairs (e.g. “filter bubbles”). To do so, this study tests to what extent political attitudes, political behavior, news media consumption and discussion frequency affect discussion network heterogeneity among US citizens.

Design/methodology/approach

Supported by the polling group Nielsen, this study uses a two-wave panel online survey to study the antecedents and mechanisms of discussion network heterogeneity among US citizens. To test the hypotheses and answer the research questions, ordinary least squares (OLS) regressions (cross-sectional, lagged and autoregressive) and mediation analyses were conducted.

Findings

The findings imply that political discussion frequency functions as the key element in explaining the mechanism that leads politically interested and participatory citizens (online) as well as news consumers of traditional and online media to seek a more heterogeneous discussion network, disrupting the so-called “filter bubbles.” However, mediation analyses also showed that discussion frequency can lead to more homogenous discussion networks if people score high on political knowledge, possibly reflecting the formation of a close network of political-savvy individuals.

Originality/value

The survey data give important insights into the 2016 pre-election situation, trying to explain why US citizens were more likely to remain in homogenous discussion networks when talking about politics and public affairs. By using two-wave panel data, the analyses allow to draw tentative conclusions about the influential and inhibiting factors and mechanisms that lead individuals to seek/avoid a more heterogeneous discussion network.

Details

Online Information Review, vol. 44 no. 6
Type: Research Article
ISSN: 1468-4527

Keywords

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