Analyzing Disproportionate Reaction via Comparative Multilingual Targeted Sentiment in Twitter

Global events such as terrorist attacks are commented upon in social media, such as Twitter, in different languages and from different parts of the world. Most prior studies have focused on monolingual sentiment analysis, and therefore excluded an extensive proportion of the Twitter userbase. In this paper, we perform a multilingual comparative sentiment analysis study on the terrorist attack in Paris, during November 2015. In particular, we look at targeted sentiment, investigating opinions on specific entities, not simply the general sentiment of each tweet. Given the potentially inflammatory and polarizing effect that these types of tweets may have on attitudes, we examine the sentiments expressed about different targets and explore whether disproportionate reaction was expressed about such targets across different languages. Specifically, we assess whether the sentiment for French speaking Twitter users during the Paris attack differs from English-speaking ones. We identify disproportionately negative attitudes in the English dataset over the French one towards some entities and, via a crowdsourcing experiment, illustrate that this also extends to forming an annotator bias

Regional sentiment bias in social media reporting during crises

Crisis events such as terrorist attacks are extensively commented upon on social media platforms such as Twitter. For this reason, social media content posted during emergency events is increasingly being used by news media and in social studies to characterize the public’s reaction to those events. This is typically achieved by having journalists select ‘representative’ tweets to show, or a classifier trained on prior human-annotated tweets is used to provide a sentiment/emotion breakdown for the event. However, social media users, journalists and annotators do not exist in isolation, they each have their own context and world view. In this paper, we ask the question, ‘to what extent do local and international biases affect the sentiments expressed on social media and the way that social media content is interpreted by annotators’. In particular, we perform a multi-lingual study spanning two events and three languages. We show that there are marked disparities between the emotions expressed by users in different languages for an event. For instance, during the 2016 Paris attack, there was 16% more negative comments written in the English than written in French, even though the event originated on French soil. Furthermore, we observed that sentiment biases also affect annotators from those regions, which can negatively impact the accuracy of social media labelling efforts. This highlights the need to consider the sentiment biases of users in different countries, both when analysing events through the lens of social media, but also when using social media as a data source, and for training automatic classification models

Crisis, Crisis, Read All About It! Investigating the Direct and Joint Effects of Crisis Response Strategies, Crisis History and Strategic Actions on the Tone of Media Coverage

Crisis management research has focused on how crisis stricken firms protect their reputation by communicating appropriate messages to evaluators and employing strategic actions that favorably shape public opinion about the stricken firm. Developing conversations have addressed how a firm’s crisis history may impact current crisis management efforts. However, little is known about how these factors jointly and directly influence what is said about a crisis stricken firm and subsequently impact evaluators’ perceptions. Primarily guided by the tenets of attribution and situational crisis communication theories, I studied the interactive and main effects of crisis response strategies (accommodative, reframing and defensive), crisis history (first time offenders and repeat offenders) and strategic action (ceremonial and technical) on the tone of media coverage about a crisis stricken firm. I theorized that there would be significant differences in the tone of media coverage about the stricken firm given the 1) the diverse reactions by evaluators to each category of response strategy, 2) differences in perceptions of current crisis responsibility as a result of crisis history and 3) the relative impact of strategic actions on a stricken firm’s crisis management efforts. I examined these relationships in the context of 63 high impact crises by analyzing 11,715 relevant articles and press releases to capture the tone of media coverage and code the crisis response strategies and strategic actions employed. A series of two way ANOVAs and ANCOVAs controlling for initial crisis attribution and organizational ranking indicated that relative to crisis history and strategic actions, crisis response strategies had the strongest effect on the tone of media coverage about a stricken firm. Further, the relationship between strategic actions and crisis response strategies revealed stronger effects on the tone of media coverage in conditions where stricken firms used reframing and defensive strategies, while employing technical actions and a combination of both technical and ceremonial actions respectively. Surprisingly, a statistically significant interaction between strategic actions and crisis history indicated a more favorable tone for repeat offender firms which did not announce strategic actions. I discuss the theoretical and practical implications of these findings and present suggestions for future research

Measles and Migration in Colombia and Brazil: Determinants of Differential Disease Impact Resulting from the Venezuelan Crisis

This thesis investigates the 2018 measles outbreaks that occurred in Colombia and Brazil as a result of importation from Venezuela, seeking to uncover underlying factors contributing to significantly greater case numbers in Brazil than in Colombia. It analyzes vaccination coverage, migrant integration, and migration policy, using a mixed-methods approach to compare the two countries. Qualitative analysis of the border zones, migration policies, health systems, and progression of the outbreaks in each country reveals that geographical and socioeconomic differences at the borders, heterogeneity of vaccination coverage, timeliness of policy responses, and disease tracing capabilities could all be possible contributors to greater disease burden in Brazil. Quantitative analysis using public opinion surveys finds differences in attitudes towards Venezuelan migrants and access to health services that may have contributed to the experiences of the Venezuelan population of each country and led to greater disease spread in Brazil. As a whole, this thesis aims to demonstrate the multi-faceted nature of cross-border disease transmission and the varied methods that may be used to combat disease spread resulting from migration crises

Commenting on Political Topics Through Twitter: Is European Politics European?

The aim of this study was to explore social media, and specifically Twitter's potential to generate a European demos. Our use of data derived from social media complements the traditional use of mass media and survey data within existing studies. We selected two Twitter hashtags of European relevance, #schengen and #ttip, to test several theories on a European demos (non-demos, European democracy, or pan-European demos) and to determine which of these theories was most applicable in the case of Twitter topics of European relevance. To answer the research question, we performed sentiment analysis. Sentiment analysis performed on data gathered on social media platforms, such as Twitter, constitutes an alternative methodological approach to more formal surveys (e.g., Eurobarometer) and mass media content analysis. Three dimensions were coded: (1) sentiments toward the issue public, (2) sentiments toward the European Union (EU), and (3) the type of framing. Among all of the available algorithms for conducting sentiment analysis, integrated sentiment analysis (iSA), developed by the Blog of Voices at the University of Milan, was selected for the data analysis. This is a novel supervised algorithm that was specifically designed for analyses of social networks and the Web 2.0 sphere (Twitter, blogs, etc.), taking the abundance of noise within digital environments into consideration. An examination and discussion of the results shows that for these two hashtags, the results were more aligned with the demoicracy and "European lite identity" models than with the model of a pan-European demos

First impressions and perceived roles: Palestinian perceptions on foreign aid

This paper summarizes some results of a wider research on foreign aid that was conducted in the West Bank and Gaza Strip in 2010. It seeks to describe the impressions and feelings of Palestinian aid beneficiaries as well as the roles and functions they attached to foreign aid. To capture and measure local perceptions on Western assistance a series of individual in depth interviews and few focus group interviews were conducted in the Palestinian territories. The interview transcripts were processed by content analysis. As research results show — from the perspective of aid beneficiaries — foreign aid is more related to human dignity than to any economic development. All this implies that frustration with the ongoing Israeli-Palestinian conflict inevitably embraces the donor policies and practices too

Moving beyond the ‘crisis’: Recommendations for the European Commission’s communication on migration. EPC Discussion Paper, 9 DECEMBER 2019

The year 2015 marked the arrival of an unprecedented number of migrants and refugees in the EU. Soon politicians, policymakers and the press dubbed these events a ‘migration crisis’. With the steep increase in public attention putting migration at the very top of the political agenda, right-wing populist parties saw their chance to capitalise on voters’ concerns in a vast majority of EU member states

State of the art 2015: a literature review of social media intelligence capabilities for counter-terrorism

Overview This paper is a review of how information and insight can be drawn from open social media sources. It focuses on the specific research techniques that have emerged, the capabilities they provide, the possible insights they offer, and the ethical and legal questions they raise. These techniques are considered relevant and valuable in so far as they can help to maintain public safety by preventing terrorism, preparing for it, protecting the public from it and pursuing its perpetrators. The report also considers how far this can be achieved against the backdrop of radically changing technology and public attitudes towards surveillance. This is an updated version of a 2013 report paper on the same subject, State of the Art. Since 2013, there have been significant changes in social media, how it is used by terrorist groups, and the methods being developed to make sense of it.  The paper is structured as follows: Part 1 is an overview of social media use, focused on how it is used by groups of interest to those involved in counter-terrorism. This includes new sections on trends of social media platforms; and a new section on Islamic State (IS). Part 2 provides an introduction to the key approaches of social media intelligence (henceforth ‘SOCMINT’) for counter-terrorism. Part 3 sets out a series of SOCMINT techniques. For each technique a series of capabilities and insights are considered, the validity and reliability of the method is considered, and how they might be applied to counter-terrorism work explored. Part 4 outlines a number of important legal, ethical and practical considerations when undertaking SOCMINT work

The Dark Side of Inspirational Pasts: An Investigation of Nostalgia in Right-Wing Populist Communication

In recent years, research found that populism employed a new strategy by using nostalgia, a sentimental longing for the past, as a communication tool to persuade citizens to support their political agendas. In populist campaigns, nostalgia is used to affectively link (alleged) crises with longing for a cherished past. In this article, we applied a mixed-methods approach to understand how populists exploit nostalgia in their communication and how nostalgic rhetoric has the potential to persuade people to support their claims. In Study 1, we conducted a case study based on a qualitative content analysis of Alternative for Germany’s (AfD) online election campaign in the 2019 Thuringia election in East Germany. The analysis revealed that the campaign was built around the nostalgic narrative of the 1989 peaceful revolution as a proud historical moment for former German Democratic Republic citizens while at the same time creating a sense of crisis supposedly caused by false post-reunification politics. To further investigate the persuasiveness of nostalgia, Study 2 used a statement from the campaign and found that participants tended to agree more with populist statements if they contained nostalgic rhetoric (compared to non-nostalgic populist and control rhetoric). These findings suggest that right-wing populists can effectively exploit nostalgia and that it may ‘sugarcoat’ populist messages