Effectiveness of Bank Sponsorship: The case of Greece

Despite the increase of the amounts invested on sponsorship worldwide, the research undertaken in order to evaluate sponsorship effectiveness on consumer perception is insufficient. This study examines the answers given from a sample of 112 high educated young people who live in Greece and have been exposed to sponsorship activities undertaken by the six larger Banks of Greece. The analysis reached interesting conclusions concerning the way Greek consumers understand the concept of bank sponsorship

An Evaluation of English-to-Yoruba Translations of Some Concepts by Selected Radio News Bulletins in South-Western Nigeria

This study examines translations of selected official names/titles contained in news broadcasts in the Yoruba-speaking part of Nigeria, interrogating their adequacy and appropriateness. Sixty-five concepts/titles extracted from one hundred news bulletins presented by five radio stations across the Yoruba-speaking states of Nigeria are examined. The study is prompted by an intuitive feeling of inaccuracy and inappropriateness of important words in news broadcasts in Yoruba and predicated upon the fact that misinformation can be as pernicious as lack of information. The renderings of the concepts in Yoruba are compared with their original versions in English, revealing translation weaknesses such as semantic narrowing, expansion, wordiness, sometimes even unwitting distortions. It concludes by emphasising the adoption of appropriate translation strategies and a more rigorous engagement with the texts as a way of guarding against unintended distortions and misinformation. Keywords: Yoruba, English, translation, news broadcasts, accuracy, distortion, DOI: 10.7176/NMMC/88-05 Publication date: March 31st 202

Forgetting PNG? Australian media coverage of Papua New Guinea

Coverage of Papua New Guinea in Australian media has been a source of resentment and dissatisfaction since the former Territory’s independence in 1975. A survey of media content in Australia has been made, to retrace collaborative research during 2007-11 that showed overall low volumes of coverage much of it negative in cast. The Australian ABC provided some exception, maintaining a Port Moresby correspondent. The present study finds the volume of coverage has increased slightly with indications of more positive approaches in reporting on the country. It contrasts disinterest in PNG among established press and commercial television, with the ongoing contribution of ABC, and the ‘new media’ Guardian Australia making a targeted and well-serviced entry into the field

The New Orleans press-radio war and Huey P. Long, 1922-1936

The introduction of radio in America in the 1920s was greeted with much fanfare by the general public and by newspapers and politicians as well. Its popularity soared as radio sets became cheaper and more accessible. Newspapers were eager to boost their circulations by featuring the latest craze; many newspapers even started their own stations as a means of publicity. As the country sank deeper into the Great Depression in the 1930s, the relationship between the country\u27s press and radio worsened. The newspapers felt threatened that radio would take away their advertising revenue in addition to stealing their news dissemination function. The struggle for power and primacy that resulted is called the Press-Radio War. This thesis addresses the issues of the Press-Radio War in the 1920s and 1930s in New Orleans, Louisiana. The relationship between the press and radio in New Orleans around this time is intriguing because of the city\u27s size and status in the South. Another intriguing element of New Orleans during the press-radio war is the presence of Huey P. Long, who dominated the politics of Louisiana at the exact same time the relationship between radio and the press was most volatile. This thesis describes the introduction of radio into New Orleans and addresses the increasing animosity between newspapers and radio, which culminated in the Press-Radio War, and how Huey Long, using his political skill, manipulated both mediums and affected the course of the press-radio relationship in New Orleans

Advancing Ecohealth in Southeast Asia and China: Lessons from the Field Building Leadership Initiative

International Development Research Centr

Social Network Analysis for Automatic Role Recognition

The computing community has shown a significant interest for the analysis of social interactions in the last decade. Different aspects of social interactions have been studied such as dominance, emotions, conflicts, etc. However, the recognition of roles has been neglected whereas these are a key aspect of social interactions. In fact, sociologists have shown not only that people play roles each time they interact, but also that roles shape behavior and expectations of interacting participants. The aim of this thesis is to fill this gap by investigating the problem of automatic role recognition in a wide range of interaction settings, including production environments, e.g. news and talk-shows, and spontaneous exchanges, e.g. meetings. The proposed role recognition approach includes two main steps. The first step aims at representing the individuals involved in an interaction with feature vectors accounting for their relationships with others. This step includes three main stages, namely segmentation of audio into turns (i.e. time intervals during which only one person talks), conversion of the sequence of turns into a social network, and use of the social network as a tool to extract features for each person. The second step uses machine learning methods to map the feature vectors into roles. The experiments have been carried out over roughly 90 hours of material. This is not only one of the largest databases ever used in literature on role recognition, but also the only one, to the best of our knowledge, including different interaction settings. In the experiments, the accuracy of the percentage of data correctly labeled in terms of roles is roughly 80% in production environments and 70% in spontaneous exchanges (lexical features have been added in the latter case). The importance of roles has been assessed in an application scenario as well. In particular, the thesis shows that roles help to segment talk-shows into stories, i.e. time intervals during which a single topic is discussed, with satisfactory performance. The main contributions of this thesis are as follows: To the best of our knowledge, this is the first work where social network analysis is applied to automatic analysis of conversation recordings. This thesis provides the first quantitative measure of how much roles constrain conversations, and a large corpus of recordings annotated in terms of roles. The results of this work have been published in one journal paper, and in five conference articles

Role Recognition in Broadcast News Using Social Network Analysis and Duration Distribution Modeling

This paper presents two approaches for speaker role recognition in multiparty audio recordings. The experiments are performed over a corpus of 96 radio bulletins corresponding to roughly 19 hours of material. Each recording involves, on average, eleven speakers playing one among six roles belonging to a predefined set. Both proposed approaches start by segmenting automatically the recordings into single speaker segments, but perform role recognition using different techniques. The first approach is based on Social Network Analysis, the second relies on the intervention duration distribution across different speakers. The two approaches are used separately and combined and the results show that around 85 percent of the recordings time can be labeled correctly in terms of role

Role Recognition in Multiparty Recordings using Social Affiliation Networks and Discrete Distributions

This paper presents an approach for the recognition of roles in multiparty recordings. The approach includes two major stages: extraction of Social Affiliation Networks (speaker diarization and representation of people in terms of their social interactions), and role recognition (application of discrete probability distributions to map people into roles). The experiments are performed over several corpora, including broadcast data and meeting recordings, for a total of roughly 90 hours of material. The results are satisfactory for the broadcast data (around 80 percent of the data time correctly labeled in terms of role), while they still must be improved in the case of the meeting recordings (around 45 percent of the data time correctly labeled). In both cases, the approach outperforms significantly chance