Ranking News-Quality Multimedia

News editors need to find the photos that best illustrate a news piece and fulfill news-media quality standards, while being pressed to also find the most recent photos of live events. Recently, it became common to use social-media content in the context of news media for its unique value in terms of immediacy and quality. Consequently, the amount of images to be considered and filtered through is now too much to be handled by a person. To aid the news editor in this process, we propose a framework designed to deliver high-quality, news-press type photos to the user. The framework, composed of two parts, is based on a ranking algorithm tuned to rank professional media highly and a visual SPAM detection module designed to filter-out low-quality media. The core ranking algorithm is leveraged by aesthetic, social and deep-learning semantic features. Evaluation showed that the proposed framework is effective at finding high-quality photos (true-positive rate) achieving a retrieval MAP of 64.5% and a classification precision of 70%.Comment: To appear in ICMR'1

Wikipedia and Westminster: Quality and Dynamics of Wikipedia Pages about UK Politicians

Wikipedia is a major source of information providing a large variety of content online, trusted by readers from around the world. Readers go to Wikipedia to get reliable information about different subjects, one of the most popular being living people, and especially politicians. While a lot is known about the general usage and information consumption on Wikipedia, less is known about the life-cycle and quality of Wikipedia articles in the context of politics. The aim of this study is to quantify and qualify content production and consumption for articles about politicians, with a specific focus on UK Members of Parliament (MPs). First, we analyze spatio-temporal patterns of readers' and editors' engagement with MPs' Wikipedia pages, finding huge peaks of attention during election times, related to signs of engagement on other social media (e.g. Twitter). Second, we quantify editors' polarisation and find that most editors specialize in a specific party and choose specific news outlets as references. Finally we observe that the average citation quality is pretty high, with statements on 'Early life and career' missing citations most often (18%).Comment: A preprint of accepted publication at the 31ST ACM Conference on Hypertext and Social Media (HT'20

Recommendation in Enterprise 2.0 Social Media Streams

A social media stream allows users to share user-generated content as well as aggregate different external sources into one single stream. In Enterprise 2.0 such social media streams empower co-workers to share their information and to work efficiently and effectively together while replacing email communication. As more users share information it becomes impossible to read the complete stream leading to an information overload. Therefore, it is crucial to provide the users a personalized stream that suggests important and unread messages. The main characteristic of an Enterprise 2.0 social media stream is that co-workers work together on projects represented by topics: the stream is topic-centered and not user-centered as in public streams such as Facebook or Twitter. A lot of work has been done dealing with recommendation in a stream or for news recommendation. However, none of the current research approaches deal with the characteristics of an Enterprise 2.0 social media stream to recommend messages. The existing systems described in the research mainly deal with news recommendation for public streams and lack the applicability for Enterprise 2.0 social media streams. In this thesis a recommender concept is developed that allows the recommendation of messages in an Enterprise 2.0 social media stream. The basic idea is to extract features from a new message and use those features to compute a relevance score for a user. Additionally, those features are used to learn a user model and then use the user model for scoring new messages. This idea works without using explicit user feedback and assures a high user acceptance because no intense rating of messages is necessary. With this idea a content-based and collaborative-based approach is developed. To reflect the topic-centered streams a topic-specific user model is introduced which learns a user model independently for each topic. There are constantly new terms that occur in the stream of messages. For improving the quality of the recommendation (by finding more relevant messages) the recommender should be able to handle the new terms. Therefore, an approach is developed which adapts a user model if unknown terms occur by using terms of similar users or topics. Also, a short- and long-term approach is developed which tries to detect short-term interests of users. Only if the interest of a user occurs repeatedly over a certain time span are terms transferred to the long-term user model. The approaches are evaluated against a dataset obtained through an Enterprise 2.0 social media stream application. The evaluation shows the overall applicability of the concept. Specifically the evaluation shows that a topic-specific user model outperforms a global user model and also that adapting the user model according to similar users leads to an increase in the quality of the recommendation. Interestingly, the collaborative-based approach cannot reach the quality of the content-based approach

Journalism Students and Information Consumption in the Era of Fake News

Technological platforms, such as social media, are disrupting traditional journalism, as a result the access to high-quality information by citizens is facing important challenges, among which, disinformation and the spread of fake news are the most relevant one. This study approaches how journalism students perceive and assess this phenomenon. The descriptive and exploratory research is based on a hybrid methodology: Two matrix surveys of students and a focus group of professors (n = 6), experts in Multimedia Journalism. The first survey (n = 252), focused on students’ perception of fake news, the second (n = 300) aims at finding out the type of content they had received during the recent confinement caused by the Covid-19 pandemic. Results show that most of the students prefer online media as a primary source of information instead of social media. Students consider that politics is the main topic of fake news, which, according to the respondents, are mainly distributed by adult users through social networks. The vast majority believe that fake news are created for political interests and a quarter of the sample considers that there is a strong ideological component behind disinformation strategies. Nonetheless, the study also reveals that students do not trust in their ability to distinguish between truthful and false information. For this reason, this research concludes, among other aspects, that the promotion of initiatives and research to promote media literacy and news literacy are decisive in the training of university students

Towards a Modular Ontology for Cloud Consumer Review Mining

Nowadays, online consumer reviews are used to enhance the effectiveness of finding useful product information that impacts the consumers’ decision-making process. Many studies have been proposed to analyze these reviews for many purposes, such as opinion-based recommendation, spam review detection, opinion leader analysis, etc. A standard model that presents the different aspects of online review (review, product/service, user) is needed to facilitate the review analysis task. This research suggests SOPA, a modular ontology for cloud Service OPinion Analysis. SOPA represents the content of a product/service and its related opinions extracted from the online reviews written in a specific context. The SOPA is evaluated and validated using cloud consumer reviews from social media and using quality metrics. The experiments revealed that the SOPA-related modules exhibit a high cohesion and a low coupling, besides their usefulness and applicability in real use case studies

Social Media Influence: Metrics Matter

It is imperative for companies to engage in social media marketing as consumers are often dependent on online information and electronic word-of-mouth. Past literature claims that consumers evaluate the influence of communications differently on social media than they would in a traditional environment because of the nature of the internet. This study aims to analyze user’s perceptions of social media marketing influence and determines if user’s perception of influence changes based on the number of social media metrics (likes, comments, and shares) that accompany a Facebook post. The study also investigates if perceptions of influence vary depending on a user’s level of involvement in the situation. A 2x2 factorial design is utilized to manipulate both level of involvement and amount of likes, comments, and shares that accompany a Facebook post. The results contend that a high number of likes, comments, and shares on Facebook leads to increased perceptions of source credibility and information usefulness. In particular, the results prove that a high number of likes, comments, and shares on Facebook leads to increased purchase intention in a low-involvement situation. These results are essential to marketers as they prove the importance of curating engaging content on company’s Facebook pages in order to generate high amounts of likes, comments, and shares. Increasing the amount of likes, comments, and shares on Facebook will make the post more influential to users

Journalism in times of cost-cutting and Web 2.0: a study on the impact of marketing and digitization on sourcing practices and editorial content

In order to assess the impact of commercialisation and digitization on journalists’ sourcing practices, we set up a content analysis of the secondary sources and information actors in the news output of four Flemish newspapers over a period of 10 years (2000-2010). From a longitudinal methodological perspective we match our results with reflexions on the expanding or shrinking mediated public sphere. The analysis shows little to no shifts through time. Mainstream sources dominate the news but citizens are also an important part of it. As far as we can observe, Flemish journalists modestly refer to pre-packaged sources. The opportunities for a more diverse source use offered by Web 2.0 applications have not yet penetrated in their newsrooms. The findings indicate that often heard concerns about cost-cutting in newsrooms or sanguinity about the democratic potential of Web 2.0 seem fairly exaggerated, at least in the Flemish context

Youth and Digital Media: From Credibility to Information Quality

Building upon a process-and context-oriented information quality framework, this paper seeks to map and explore what we know about the ways in which young users of age 18 and under search for information online, how they evaluate information, and how their related practices of content creation, levels of new literacies, general digital media usage, and social patterns affect these activities. A review of selected literature at the intersection of digital media, youth, and information quality -- primarily works from library and information science, sociology, education, and selected ethnographic studies -- reveals patterns in youth's information-seeking behavior, but also highlights the importance of contextual and demographic factors both for search and evaluation. Looking at the phenomenon from an information-learning and educational perspective, the literature shows that youth develop competencies for personal goals that sometimes do not transfer to school, and are sometimes not appropriate for school. Thus far, educational initiatives to educate youth about search, evaluation, or creation have depended greatly on the local circumstances for their success or failure

Towards more balanced news access? A study on the impact of cost-cutting and Web 2.0 on the mediated public sphere

In order to assess the impact of cost-cutting and digitalization on the expansion or contraction of the mediated public sphere, we developed a quantitative and longitudinal content analysis focused on sourcing practices for foreign news reporting in four Belgian newspapers (1995-2010). The results show little to no shift in the news access of different types of sources. Political sources dominate foreign news output, but ordinary citizens also play a significant role. Although it becomes clear that Belgian journalists often do not explicitly mention their use of news agency copy, recycled news articles or PR material, our findings indicate that concerns about cost-cutting in newsrooms or sanguinity about the democratic potential of Web 2.0 seem fairly exaggerated, at least in the Belgian context