scholarly journals BlogNewsRank: Finding and Ranking Frequent News Topics Using Social Media Factors

2018 ◽  
Vol 2 (3) ◽  
pp. 166
Author(s):  
Harshitha H ◽  
Mohammed Rafi
Keyword(s):  
Social Media ◽  
News Media ◽  
Information Overload ◽  
User Interaction ◽  
The Social ◽  
Media Services ◽  
Daily Events ◽  
The Media ◽  
User Attention ◽  
Filter Noise

In early days, mass media sources such as news media used to inform us about daily events. Now a days, social media services such as Twitter huge amount of user-generated data, which has a great potential to contain informative news-related content. For these resources to be useful, we have to find a way to filter noise and capture the content that, based on its similarity to the news media, is considered valuable. Even after noise is removed, information overload may still exist in the remaining data. Hence it is convenient to prioritize it for consumption. To achieve prioritization, information must be ranked in order of estimated importance considering mainly three factors. First, the temporal prevalence of a particular topic in the news media is a factor of importance, and can be considered the media focus (MF) of a topic. Second, the temporal prevalence of the topic in social media indicates its user attention (UA). Last, the interaction between the social media users who mention this topic indicates the strength of the community discussing it, and can be regarded as the user interaction (UI) toward the topic. We propose an unsupervised framework—BlogNewsRank—which identifies news topics prevalent in both social media and the news media, and then ranks them by relevance(frequency) using their degrees of MF, UA, and UI.

scholarly journals A new approach of ranking prevalent news topics from social media using unsupervised techniques

2019 ◽  
Vol 8 (07) ◽  
pp. 24683-24789
Author(s):  
Dr. D. Murali ◽  
Vinutha BA
Keyword(s):  
Social Media ◽  
News Media ◽  
User Interaction ◽  
Common People ◽  
New Approach ◽  
Online Social Media ◽  
The Social ◽  
User Attention ◽  
The Common ◽  
Filter Noise

The precious data from online origin has developed into a extended research. The mass media and news media provides the daily events to the common people. Huge amount of information is been achieved by an online social media suchlike Twitter, which contains more information about news-associated content. It is necessary to find a way to filter noise, for these resources to be useful and grab the content that is depend on the similarity to news media. Despite after the noise is eliminated the excessive data still remain in the data so it is essential to prioritize it for utilization. We are introducing three factors for prioritization. The unsupervised technique finds the news topics that are common in the pair of social media and news media, and then ranks them by the applicability factors such as MF, UA and UI. Initially the temporal prevalence of the appropriate topic in news media focus (MF). Secondary the temporal prevalence of the appropriate topic in social media illustrates the user attention (UA). Finally the interconnection among the social media users who specify this topic demonstrates the power of the society who is discussing; it is termed as the user interaction (UI).  

COVID-19 Infodemic

Glimpse ◽  
2021 ◽  
Vol 22 (2) ◽  
pp. 119-130
Author(s):  
Sarah Lwahas ◽  
Keyword(s):  
Social Media ◽  
Northern Nigeria ◽  
The Social ◽  
Media Services ◽  
The Media ◽  
Setting Theory ◽  
Fact Checking ◽  
Managerial Positions ◽  
The Impact ◽  
Structured Questionnaire

Journalism like many other professions is facing a crucial phase with the emergence of Coronavirus pandemic. The impact of Coronavirus phenomenon is enormous on social and cultural relationships of many communities who depend on the media for information to connect with each other and participate in governance freely. Journalists globally are facing enormous crisis of managing the infodemic of the pandemic streaming particularly from social media; as well as controversies of the media perpetuating disinfodemic or disinformation and distrust in the society. Besides arrests and restrictions of movement, journalists are also under intense threats of losing their jobs, and exacerbated psychological and physical pressures owing to the devastating effects of COVID-19. Using the Social Responsibility theory, that emphasises improved standards of journalism, safeguarding the interests of journalism and journalists among others, and the Agenda setting theory, that controls access to news, information, and entertainment; this research interrogates how journalists from selected states in Northern Nigeria are responding to the challenges of reportage of COVID-19. This research sampled the views of journalists using structured questionnaire administered online and interviewed seven senior journalists holding managerial positions. Findings revealed that journalists are embracing fact checking of the avalanche of information even within familiar sources to verify reports on COVID-19. Similarly, they are deploying digital and multimedia strategies to provide a continuum of media services and sensitive reporting to engage this new infodemic of COVID-19, now globally considered the “new normal”. This research recommends that, since COVID-19 is a novel disease, professionals across countries need to talk with each other, and journalists particularly from Africa and indeed Nigeria; need to put some structure and some science in place, especially in the performance of their jobs, so that professionalism can be sustained without compromising the future of the journalism.

The 140 Characters AreSetting the Agenda of the Day: A Critical analysis of Role of twitter in Lalitgate

2016 ◽  
Vol 10 (2) ◽  
Author(s):  
Amit Kumar
Keyword(s):  
Social Media ◽  
News Media ◽  
Media Coverage ◽  
Online Source ◽  
The Social ◽  
News Organizations ◽  
The Face ◽  
Social Media Platforms ◽  
The Media

The face of a news room in India has been changed radically with the ever growing popularity of social media, where it sets agenda for the news organizations to follow. The #Lalitgate is a classical example, where the Ex IPL Commissioner, Lalit Modi, who has gained a notorious image due to his controversies, broke news on twitter, from there it has been picked up by 24x7 news channels, subsequently online portals do a piece on it, again there is a prime time discussion on that news, followed by a morning coverage by the news papers. As a person gain ability to create sensationalism, he utilizes the ability of social media to create some dialogues, with a larger worldwide audience, which was earlier not possible due to the monologue approach of traditional media. The ability of that piece of information to get retweeted by followers allows it to trend high on twitter. As the number become astonishing some time, it automatically qualifies for the attention of the editors of media organizations and eventually sets the agenda of the day. The social media platforms; Twitter, Facebook, Whatsapp etc. have become the essential tool of news gathering of a modern news room. Twitter with its 302 million followers worldwide, eventually became a credible online source of news gathering as the tweets are usually came through a first person, citing his/her views or, opinion on a subject matter. This research paper aims to critically analyze the role of twitter as an agenda setting tool in #Lalitgate, where, the cricket administrator turned whistleblower, Lalit Modi, used twitter effectively for his revelations, and he not only trolled successfully on twitter but news media as well. The scope of this paper is limited to the media coverage by English medium news channels and papers only.

scholarly journals Accept and Scale Traditional News Elements By Utilizing Public Network Elements

2019 ◽  
Vol 8 (12) ◽  
pp. 2559-2561
Keyword(s):  
Social Media ◽  
News Media ◽  
Domain Model ◽  
Network Services ◽  
Public Network ◽  
Proposed Model ◽  
Media Services ◽  
User Data ◽  
A New Technique ◽  
Filter Noise

Media orgins, specifically the news elements, have traditionally informed us incidents of daily life. In recent times, public network services such as Twitter provide an huge amount of numerous smaller collections generated from different user data. In this work, a new technique is proposed to filter noise and to obtain the data which are similar in news content which is considered to be valuable. It has a bottom-up approach to news recognition, and without of the help of an predefined origins of firm or topics. Rather, determines growing talks and messages daily to choose that are news-like. We introduce a hierarchical Bayesian model that jointly models the news media services and social media services and we show that our proposed model can capture different topics for individual datasets. In The proposed system the process is to change these instances into a regular model of characteristics and classes, System denote a oversee method based on a graphical paradigm to identify webbing poll show that the supervised method substantially improvize existing method. lastly the persons interactions while all the interests of the person in social media are considered hence the proposed work identifies and ranks news topic. In this paper we reveal our main domain, model and estimations are used to attain the goal, and instructions learnt parallely.

scholarly journals Turning Words Into Consumer Preferences: How Sentiment Analysis Is Framed in Research and the News Media

2018 ◽  
Vol 4 (3) ◽  
pp. 205630511879772 ◽  
Author(s):  
Cornelius Puschmann ◽  
Alison Powell
Keyword(s):  
Social Media ◽  
Sentiment Analysis ◽  
News Media ◽  
Public Discourse ◽  
Information Overload ◽  
Consumer Preferences ◽  
The Public ◽  
Attention Economy ◽  
The Social

Sentiment analysis is an increasingly popular instrument for the analysis of social media discourse. Sentiment scores seemingly represent an objective means of assessing the mood of social media users, consumers, and the public at large. Similar to other computational tools, sentiment analysis promises to reduce complexity and mitigate information overload, and to inform the decisions of marketers, pollsters, and scholars with reliable data. This article argues that the assumptions encoded into sentiment analysis as a method are accompanied by a number of constraints, both regarding its technical limitations (in terms of what sentiment analysis can and cannot accomplish) and conceptually (in terms of what the notion of sentiment implicitly represents), constraints which are often de-emphasized in public discourse. After providing an overview of its history and development in computer science as well as psychology and the social sciences, we turn to the role of sentiment as a currency in the attention economy. We then present a brief study of common framing of sentiment analysis in the news media, highlighting the expectations that exist regarding its analytical capabilities. We close by discussing the kind of conceptual work that takes place around computational methods such as sentiment analysis in specific cultural environments, highlighting their influence on the public imaginary.

The effectiveness of Social Media Instagram as a Promotion of Agricultural product of fruits. (case :Instagram TaniHub Indonesia, Pasar Minggu, Jakarta Selatan)

2020 ◽  
Vol 4 (6) ◽  
pp. 866
Author(s):  
Nensy Yohana Natalia Pasaribu
Keyword(s):  
Social Media ◽  
Media Exposure ◽  
Agricultural Product ◽  
Marketing Activity ◽  
Feedback Message ◽  
The Social ◽  
The Media

Agriculture produces processed product which is perishable, so that the agricultural product should be distributed immediately. Processed product can be promoted to attract consumers to buy the product. One of the media that can be used to promote processed agricultural product is social media. Social media is needed to ease the marketing activity on the product. Social media is viral and can be delivered directly and personally to the consumer. Indicators are used to know the effectiveness of the social media as promotion media with AIDA concept. The results showed that promotion through Instagram has not been effective in the stages of attention (attention), interest (interest), desire (desire), and action (action). This study also explains that there is a relationship between the characteristics of gender followers and the level of social media exposure to the frequency of messages. In addition, there is also a relationship between the frequency of message feedback, message attractiveness, and intelligence in delivering messages with the interest stage. 

scholarly journals Social Media Influencer’s Reputation: Developing and Validating a Multidimensional Scale

2021 ◽  
Vol 13 (2) ◽  
pp. 631
Author(s):  
Eun Ah Ryu ◽  
Eun Kyoung Han
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Economic Value ◽  
Reliability And Validity ◽  
Political Influence ◽  
Measurement Tool ◽  
Opinion Formation ◽  
Consumption Behavior ◽  
The Social ◽  
The Media

Since the introduction of smartphones in 2009, social networking services (SNS), which have seen a surge in users, facilitated changes in the media environment along with social influence that has increased the economic value and political influence of SNS. In particular, as consumers’ media use and consumption behavior change around digital media, social media plays a very important role in consumers’ lives. From this perspective, influencers who influence not only consumers’ consumption behavior, but also decision-making and opinion formation based on social media are attracting attention. Therefore, the aim of this study was to develop items to measure an influencer’s reputation as a new source of information in the SNS environment; no previous researchers have presented generalized measurement items for an influencer’s reputation. We intended to identify what dimensions and items in the existing literature could effectively measure a social media influencer’s reputation and to verify each item’s relevance as a measure of a social media influencer’s reputation. Based on in-depth interviews with 30 experts and empirical findings from 557 adults, this study identified dimensions that impact on a consumer’s perception of a social media influencer and developed a scale. The results showed that the social media Influencer’s Reputation scale comprises four distinctive dimensions: Communication skills, influence, authenticity, and expertise. Additionally, the reliability and validity of the scale were assessed, using exploratory and confirmatory analyses and construct validity. The findings confirmed that the social media influencer’s reputation scale measurement items, in this study, can be used as a consistent measurement tool for each dimension. It is also important to develop value in favor of the marketing strategy by increasing value through the influencer’s reputation.

From ‘filth’ and ‘insanity’ to ‘peaceful moral watchdogs’: Police, news media, and the gang label

2016 ◽  
Vol 13 (3) ◽  
pp. 295-313 ◽  
Author(s):  
Travis Linnemann ◽  
Bill McClanahan
Keyword(s):  
Cultural Politics ◽  
News Media ◽  
Social Reality ◽  
Threat Assessment ◽  
Straight Edge ◽  
Police Power ◽  
The Social ◽  
The Media ◽  
The Relationship

This paper engages the cultural politics of criminal classifications by aiming at one of the state’s most powerful, yet ambiguous markers—the ‘gang.’ Focusing on the unique cases of ‘crews’ and collectives within the ‘straight edge’ and ‘Juggalo’ subcultures, this paper considers what leads members of the media and police to construct—or fail to construct—these street collectives as gangs in a seemingly haphazard and disparate fashion. Juxtaposing media, cultural, and police representations of straight edge ‘crews’ and Juggalo collectives with the FBI’s Gang Threat Assessment, we detail how cultural politics and ideology underpin the social reality of gangs and thus the application of the police power. This paper, furthermore, considers critical conceptualizations of the relationship between police and criminal gangs.

scholarly journals A Study on the Rationale of Social Media Use by the Students of King Khalid University

2017 ◽  
Vol 10 (8) ◽  
pp. 43 ◽  
Author(s):  
Sayed Salahuddin Ahmed ◽  
Abdulkhaleq Q. A. Hassan
Keyword(s):  
Social Media ◽  
Saudi Arabia ◽  
Undergraduate Students ◽  
English Language ◽  
Smart Phone ◽  
Language Preference ◽  
Subject Knowledge ◽  
Knowledge And Skills ◽  
The Social ◽  
The Media

s not it deplorable that in a country that tops in the entire world in using several social media sites does not utilize the same media in acquiring knowledge and skills? In Saudi Arabia, undergraduate students spend a significant amount of time on social media every day, but they are reluctant (or not motivated enough) to use the same media for educational purposes. This study was carried out on the undergraduate English majors of King Khalid University in Muhayil Asir in Saudi Arabia. In the English department, every student carries at least one smart phone with Internet connection, and they are found occupied with their phones on the campus, sometimes even in classrooms, but they are weak both in subject knowledge and skills of English language. The teachers-cum-researchers were baffled with students’ competence because regular users of Internet and social media are supposed to be updated with the subject knowledge as well as confident in using English language. The researchers designed an empirical study to explore students’ rationale of using the social media and their language preference. The study concludes with gloomy findings that students use the media mainly for entertainment and ineffective communication in English language. The worst fact is: they are not motivated enough to use the social media for educational purposes.

scholarly journals Native Advertising—The Formats and Types of Content Most Demanded by Brands in the Spanish Media

2021 ◽  
Vol 2 (4) ◽  
pp. 529-544
Author(s):  
Daniel Zomeño ◽  
Rocío Blay-Arráez
Keyword(s):  
Social Media ◽  
Rapid Development ◽  
Editorial Content ◽  
Media Environment ◽  
The Social ◽  
Media Ecosystem ◽  
The Media ◽  
Media Formats ◽  
Depth Interviews

Media convergence and the incorporation of new narratives typical of the consumption habits of younger audiences in the social media environment have led to the proliferation of a wide variety of formats and types of content in the media ecosystem through which the editorial content offered to brands is being distributed. This qualitative research, using in-depth interviews with a qualified sample of branded content managers from the main Spanish media, allows us to determine the main characteristics of the native advertising demanded by advertisers. The results corroborate observations that content channelled through more sophisticated consumption experiences, using both multimedia and interactivity with a clear transmedia approach, tends to be better received by the audience and, therefore, in greater demand by brands. It also confirms that both video and social media formats have grown exponentially when it comes to providing an outlet for branded content. Based on the results obtained, a proposed classification of these products, including definitions, has been drawn up so they can be publicised to the professional world, offering the reflection and precision that their rapid development has not allowed until now.

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