The news coverage of the 2004 European Parliamentary Election Campaign in 25 countries

This article analyzes the news coverage of the 2004 European Parliamentary\ud (EP) elections in all 25 member states of the European Union (EU). It\ud provides a unique pan-European overview of the campaign coverage based\ud on an analysis of three national newspapers and two television newscasts in\ud the two weeks leading up to the elections. On average, the elections were\ud more visible in the new 10 member states than in the 15 old EU member\ud states. The political personalities and institutional actors featured in news\ud stories about the elections were generally national political actors and not EU\ud actors. When it was evaluative, the news in the old EU-15 was generally\ud negative towards the EU, while in the new countries a mixed pattern was\ud found. The findings of the study are discussed in the light of the literature on\ud the EU’s legitimacy and communication deficit

Early Prediction of Movie Box Office Success based on Wikipedia Activity Big Data

Use of socially generated "big data" to access information about collective states of the minds in human societies has become a new paradigm in the emerging field of computational social science. A natural application of this would be the prediction of the society's reaction to a new product in the sense of popularity and adoption rate. However, bridging the gap between "real time monitoring" and "early predicting" remains a big challenge. Here we report on an endeavor to build a minimalistic predictive model for the financial success of movies based on collective activity data of online users. We show that the popularity of a movie can be predicted much before its release by measuring and analyzing the activity level of editors and viewers of the corresponding entry to the movie in Wikipedia, the well-known online encyclopedia.Comment: 13 pages, Including Supporting Information, 7 Figures, Download the dataset from: http://wwm.phy.bme.hu/SupplementaryDataS1.zi

Novel and topical business news and their impact on stock market activities

We propose an indicator to measure the degree to which a particular news article is novel, as well as an indicator to measure the degree to which a particular news item attracts attention from investors. The novelty measure is obtained by comparing the extent to which a particular news article is similar to earlier news articles, and an article is regarded as novel if there was no similar article before it. On the other hand, we say a news item receives a lot of attention and thus is highly topical if it is simultaneously reported by many news agencies and read by many investors who receive news from those agencies. The topicality measure for a news item is obtained by counting the number of news articles whose content is similar to an original news article but which are delivered by other news agencies. To check the performance of the indicators, we empirically examine how these indicators are correlated with intraday financial market indicators such as the number of transactions and price volatility. Specifically, we use a dataset consisting of over 90 million business news articles reported in English and a dataset consisting of minute-by-minute stock prices on the New York Stock Exchange and the NASDAQ Stock Market from 2003 to 2014, and show that stock prices and transaction volumes exhibited a significant response to a news article when it is novel and topical.Comment: 8 pages, 6 figures, 2 table

A Study of Realtime Summarization Metrics

Unexpected news events, such as natural disasters or other human tragedies, create a large volume of dynamic text data from official news media as well as less formal social media. Automatic real-time text summarization has become an important tool for quickly transforming this overabundance of text into clear, useful information for end-users including affected individuals, crisis responders, and interested third parties. Despite the importance of real-time summarization systems, their evaluation is not well understood as classic methods for text summarization are inappropriate for real-time and streaming conditions. The TREC 2013-2015 Temporal Summarization (TREC-TS) track was one of the first evaluation campaigns to tackle the challenges of real-time summarization evaluation, introducing new metrics, ground-truth generation methodology and dataset. In this paper, we present a study of TREC-TS track evaluation methodology, with the aim of documenting its design, analyzing its effectiveness, as well as identifying improvements and best practices for the evaluation of temporal summarization systems

The Appeal of Protest Rhetoric: How Moral Entrepreneurs Recruit the Media into Moral Struggles

Whenever the news media feature brand-related moral struggles over issues such as ethicality, fairness, or sustainability, brands often find themselves in the position of the culprit. However, brands may also take the opposite position, that of a moral entrepreneur that proactively raises and addresses moral issues that matter to society. In this chapter, we present a case study of the Austrian shoe manufacturer Waldviertler, which staged a protest campaign against Austria’s financial market authorities (FMA) in the wake of the authorities demanding that the company closes its alternative (and illegal) consumer investment model after 10 years of operation. In response to this demand, the company organized protest marches, online petitions, and press conferences to reclaim the moral high ground for its financing model as a way out of the crunch following the global credit crisis and as a way to fight unfair administrative burdens. We present an interpretive analysis of brand communication material and media coverage that reveals how this brand used protest rhetoric on three levels – logos, ethos, and pathos – to reverse moral standards, to embody a rebel ethos, and to cultivate moral indignation. We also show how the media responded to protest rhetoric both with thematic coverage of context, trends, and general evidence, and with episodic coverage focusing on dramatic actions and the company owner’s charisma. We close with a discussion of how protestainment, the stylization of a leader figure, and marketplace sentiments can ensure sustained media coverage of moral struggles

Modeling the formation of attentive publics in social media: the case of Donald Trump

Previous research has shown the importance of Donald Trump’s Twitter activity, and that of his Twitter following, in spreading his message during the primary and general election campaigns of 2015–2016. However, we know little about how the publics who followed Trump and amplified his messages took shape. We take this case as an opportunity to theorize and test questions about the assembly of what we call “attentive publics” in social media. We situate our study in the context of current discussions of audience formation, attention flow, and hybridity in the United States’ political media system. From this we derive propositions concerning how attentive publics aggregate around a particular object, in this case Trump himself, which we test using time series modeling. We also present an exploration of the possible role of automated accounts in these processes. Our results reiterate the media hybridity described by others, while emphasizing the importance of news media coverage in building social media attentive publics.Accepted manuscrip