The Impact of Sentiment Analysis Output on Decision Outcomes: An Empirical Evaluation

User-generated online content serves as a source of product- and service-related information that reduces the uncertainty in consumer decision making, yet the abundance of such content makes it prohibitively costly to use all relevant information. Dealing with this (big data) problem requires a consumer to decide what subset of information to focus on. Peer-generated star ratings are excellent tools for one to decide what subset of information to focus on as they indicate a review’s “tone”. However, star ratings are not available for all user-generated content and not detailed enough in other cases. Sentiment analysis, a text-analytic technique that automatically detects the polarity of text, provides sentiment scores that are comparable to, and potentially more refined than, star ratings. Despite its popularity as an active topic in analytics research, sentiment analysis outcomes have not been evaluated through rigorous user studies. We fill that gap by investigating the impact of sentiment scores on purchase decisions through a controlled experiment using 100 participants. The results suggest that, consistent with the effort-accuracy trade off and effort-minimization concepts, sentiment scores on review documents improve the efficiency (speed) of purchase decisions without significantly affecting decision effectiveness (confidence)

Slava Ukraini: a psychobiographical case study of Volodymyr Zelenskyy’s public diplomacy discourse

Volodymyr Zelenskyy\u27s public diplomacy during the Russo-Ukrainian conflict was examined in this dissertation. Zelenskyy’s discourse emphasized his action-oriented traits, Ukrainian identity, and nationalism. The study employed LTA, and LIWC-22, for natural language processing analyses of Zelenskyy\u27s public speeches and diplomatic discourse. Zelenskyy demonstrated agency, adaptability, collaboration, and positive language patterns, suggesting confidence and optimism, according to the data. In addition, the research emphasizes how domestic and international factors influence state behavior, as well as how political demands, cultural, historical, and political factors influence Zelenskyy\u27s decision-making. This dissertation sheds light on a global leader\u27s psychobiographical characteristics, beliefs, and motivations during a crisis, thereby advancing leadership and conflict resolution. By incorporating transformational leadership theory into LTA, researchers can gain a better understanding of effective leadership and how it develops strong connections with followers. LTA, LIWC-22, and qualitative coding were used to identify themes and trends in Zelenskyy\u27s speeches. The findings show Zelenskyy\u27s linguistic and leadership traits in public diplomacy, emphasizing the importance of understanding leaders\u27 traits in foreign policy decision-making. Psychobiographical profiles aid scholars in understanding a leader\u27s political views on conflict, their ability to influence events, and how they accomplish their objectives. As a result, perceptions of the state as an actor, as well as foreign policy decisions, must consider the effect of individual leaders. Conclusions include the Brittain-Hale Foreign Policy Analysis Model, based on a heuristic qualitative coding framework; HISTORICAL

«Modern Scientific Method» (September 21-22, 2023). Vienna, Austria, 2023

Publisher.agency: Proceedings of the 4th International Scientific Conference «Modern Scientific Method» (September 21-22, 2023). Vienna, Austria, 2023. 151

The targeted use of the informal register on a social networking site by foreign-language learners evaluated through linguistic analysis and perceived-context appropriateness

In today’s society, complex issues relating to socio-cultural integration are a key concern for policy makers, with far-reaching implications for domestic and foreign-language policies. In an increasingly globalized world, English continues to be used by many people from diverse linguistic, cultural, and ethnic backgrounds, who need to communicate daily. The use of the informal register is crucial for developing successful professional and personal relationships, yet it has not received sufficient attention from foreign-language teachers, researchers and policy makers. This exploratory study addressed this research gap through the deployment of a multi-layered study, which focussed on the instruction and perception of the informal register. It is the product of a research project spanning almost five years in which it employed a one-group pretest-posttest intervention. In the intervention study, referred to as Stage One, 15 advanced foreign-language learners completed study materials comprising of listening, reading, writing and ‘speaking’ activities over a period of five weeks. The ‘speaking’ activities were undertaken using asynchronous chat on the social networking site. In addition to a linguistic assessment of the intervention, a practical evaluation was undertaken in Stage Two by speakers of English who rated Stage One posts based upon their context appropriateness. The results of the study indicate that students not only used the informal register with more frequency, but utilized a wider variety of register features and furthermore used these with greater appropriateness. Students considered instruction in the informal-register features to be beneficial. Analysis of the findings illustrated that context-perceived appropriateness is linked to characteristics of English speakers such as personal preference and knowledge of Spanish, and not to the linguistic features identified in the posts. The implications of this study for practice, theory, policy and methodology are extensive; from the need to reassess the effectiveness of traditional e-learning models for interaction to the introduction of new policies which introduce pedagogical-focused teacher training to exploit the affordances associated with the educational use of social media. The study’s primary, original contribution to knowledge lies in the fact that it contributes to the debate about the teaching of informal language, by introducing dedicated instruction in the informal register, to adult learners of English, using a social networking site

Testing the feasibility of the model of an RRO system for publishing in China

It is widely accepted that copyright collective administration is the indispensable exercise of copyright and related rights by organisations acting in the interest and on behalf of rights holders. Reproduction Rights Organisations (RROs) as one kind of collecting society help rights holders to enforce their reprographic rights mainly as regards photocopying since the 1970s. With its entrance into the World Trade Organisation (WTO), China became a member of the international copyright community per se in 2001. Although the history of copyright in China is not long, there have been notable efforts from the Chinese Government and rights holders to complete copyright protection system in China. On March 1, 2005, the Regulations on Copyright Collective Administration came into effect, which provides the impetus for the development of copyright collective administration and collecting societies in China. This research focused on RROs, the publishing industry and protection of reprographic rights in China. [Continues.

EmC-ICDSST 2019: 5th International Conference on Decision Support System Technology - ICDSST 2019 & EURO Mini Conference 2019 on "Decision Support Systems: Main Developments & Future Trends"

info:eu-repo/semantics/publishedVersio

The utilization of artificial intelligence in online advertising and its perceived effectiveness

This study explores the utilization of Artificial Intelligence in online advertising process and the impact of using AI each stage in that process with the overall perceived effectiveness. It also provides a better understanding of the magnitude of using AI in the four stages of advertising online: namely consumer insights, ad creation, media planning and buying, and finally ad evaluation. Process model of AI utilization in online advertising is the conceptual model of the study, which is developed from the previous literature. A triangulation methodology is implemented to enhance the credibility of the research study and leads to a more comprehensive understanding of the topic. Online survey is conducted with digital advertisers worldwide from both agency and client side. Nonrandom sampling (N=60) was implemented to test 5 constructs from the perspective of the respondents. Three in-depth interviews were also conducted before and after the online questionnaire to analyze the findings and results and demonstrate insights on the five proposed research questions. Findings of the study showed beyond doubt that AI is stepping strongly and progressively in the four stages of the data-based online advertising process. Moreover, it significantly showed that there is a relationship between AI utilization in each stage and the following one. Finally, results indicated that using AI in each advertising stage promotes the perceived effectiveness of the overall online ad process

Beyond the ‘bad guys’ : unpacking populism, climate skepticism, and climate policy in right-wing party manifestos

This study critically examines the relationship between right-wing populism and climate policy, challenging prevailing assumptions and exploring the complexities of this interplay. Through quantitative and qualitative content analysis of political party manifestos, the study investigates the correlation between populist rhetoric, ideological positioning, climate skepticism, and opposition to climate policies among right-wing parties. The assessment of four democracies (United States, Germany, Australia, and Austria) indicates that, contrary to popular belief, right-wing political parties do not consistently employ more populist language than their left-wing counterparts. Moreover, the findings demonstrate a complex relationship between adopting of climate skeptic discourse and opposition to climate policy. While certain right-wing political parties exhibit strong resistance to ambitious climate policies, the research uncovers a nuanced relationship that transcends a simplistic portrayal of “the climate bad guys”.M-IE

RIO Country Report Lithuania 2014

The report offers an analysis of the R&I system in Lithuania for 2014, including relevant policies and funding, with particular focus on topics critical for two EU policies: the European Research Area and the Innovation Union. The report was prepared according to a set of guidelines for collecting and analysing a range of materials, including policy documents, statistics, evaluation reports, websites etc. The report identifies the structural challenges of the Lithuanian research and innovation system and assesses the match between the national priorities and those challenges, highlighting the latest policy developments, their dynamics and impact in the overall national context.JRC.J.6-Innovation Systems Analysi