Who Is Missing? Characterizing the Participation of Different Demographic Groups in a Korean Nationwide Daily Conversation Corpus

A conversation corpus is essential to build interactive AI applications. However, the demographic information of the participants in such corpora is largely underexplored mainly due to the lack of individual data in many corpora. In this work, we analyze a Korean nationwide daily conversation corpus constructed by the National Institute of Korean Language (NIKL) to characterize the participation of different demographic (age and sex) groups in the corpus.Comment: Accepted in AAAI ICWSM'2

Progress Under Scrutiny: Poverty Reduction in Pakistan

Consumption-based poverty in Pakistan fell sharply between 1990 and 2010, according to official poverty data. Nonetheless the mainstream narrative on poverty reduction in the country remains highly contested. Key sources of evidence show improvements that are commensurate with a decrease in poverty, while others raise doubts over this decrease. The policy space in which poverty reduction is debated is also highly polarised, as revealed in the positions of multiple stakeholders involved in policy, research and civil society in Pakistan. An analysis of official poverty data shows how the estimates may be biased -- both owing to technical flaws and to the politics of measurement. As a result, it is surprisingly difficult to reach a definitive conclusion as to whether poverty reduced between 1990 and 2010 and if the stated progress is real. We discuss the implications of the high levels of contestation over official poverty data as well as the need to understand better the types of evidence that the government must produce to defend its policies to alleviate poverty, and for key stakeholders to accept these as credible. We also discuss the steps that the country is taking to depoliticise the measurement and analysis of poverty -- in and of themselves signs of progress

DATA MINING: A SEGMENTATION ANALYSIS OF U.S. GROCERY SHOPPERS

Consumers make choices about where to shop based on their preferences for a shopping environment and experience as well as the selection of products at a particular store. This study illustrates how retail firms and marketing analysts can utilize data mining techniques to better understand customer profiles and behavior. Among the key areas where data mining can produce new knowledge is the segmentation of customer data bases according to demographics, buying patterns, geographics, attitudes, and other variables. This paper builds profiles of grocery shoppers based on their preferences for 33 retail grocery store characteristics. The data are from a representative, nationwide sample of 900 supermarket shoppers collected in 1999. Six customer profiles are found to exist, including (1) "Time Pressed Meat Eaters", (2) "Back to Nature Shoppers", (3) "Discriminating Leisure Shoppers", (4) "No Nonsense Shoppers", (5) "The One Stop Socialites", and (6) "Middle of the Road Shoppers". Each of the customer profiles is described with respect to the underlying demographics and income. Consumer shopping segments cut across most demographic groups but are somewhat correlated with income. Hierarchical lists of preferences reveal that low price is not among the top five most important store characteristics. Experience and preferences for internet shopping shows that of the 44% who have access to the internet, only 3% had used it to order food.Consumer/Household Economics, Food Consumption/Nutrition/Food Safety,

Digital Food Marketing to Children and Adolescents: Problematic Practices and Policy Interventions

Examines trends in digital marketing to youth that uses "immersive" techniques, social media, behavioral profiling, location targeting and mobile marketing, and neuroscience methods. Recommends principles for regulating inappropriate advertising to youth

Does Trust Really Matter? A Quantitative Study of College Students\u27 Trust and Use of News Media

Media polls reveal that trust in news media has been on the decline in recent years and so is the consumption of news. This quantitative study reveals no significant correlation between overall trust and use of news media. It finds that college students have more trust in traditional news sources and view TV as their most important news source. Yet they are more likely to seek out a future news event from online news sources, despite having less trust in them. Results indicate that social media sources, such as Facebook and Twitter, are used as frequent sources for news and the correlations between trust and use of social media sources for news are generally stronger than those of other news sources. This study suggests that news outlet may seek to gain more users of this demographic not by (re-)gaining their trust but by diversifying their news content so that it is more easily accessible and consumable by college students

Breaking The Silence: Extending Theory To Address The Underutilization Of Mental Health Services Among Chinese Immigrants In The United States

Mental health services underutilization has been a prevalent issue in Chinese immigrant community in the United States. Using a nation wide survey of 445 Chinese immigrants in November 2017, this study investigates the effects of cognitive barriers (i.e., acculturation levels) and affective obstacles (i.e., mental illness stigma) on Chinese immigrants’ perceptual, attitudinal, and behavioral responses toward mental health services, by combining situational theory of problem solving and the theory of planned behavior. This study also examines the effects of mainstream and ethnic media use on acculturation and perceived stigma. Findings provide empirical support for the combined model, showing that all the cognitive and affective factors can predict Chinese immigrants’ communicative action and behaviors regarding mental health services utilization. In addition, this study found that acculturation (cognitive barriers) is an effective predictor of individuals’ ability to recognize the problem, connection to the problem, subjective norms regarding the problem, and their perceived behavioral control over the problem. On the other hand, mental illness stigma (affective barriers) can predict individuals’ constraint recognition, attitudes, and perceived behavioral control over the issue. Practical implications are discussed for health public relations practitioners and communicators to better identify publics, propose strategic messages, and implement communication campaigns to improve Chinese immigrants’ mental health services utilization rates

How fear of crime affects punitive attitudes

This article investigates different types of fear of crime as predictors for punitive attitudes. Using data from a Germany-wide representative survey (n = 1272) it examines the reliability and validity of survey instruments through confirmatory factor analysis (CFA) and uses structural equation modeling (SEM) to explain variations in the level of respondents’ punitive attitudes. The results show that different emotional and cognitive responses to crime have a distinctive effect on the formation of punitive attitudes. These effects vary significantly depending on socio-demographic factors and assumed purposes of punishment. A crucial observation of the study is that men’s fear of crime works in a different way in the formation of punitive attitudes than women’s fear of crime. The perceived locus of control for the crimethreat is a possible explanation for this difference

Understanding the associations between information sources, sociodemographics, and views on public health measures: evidence from the COVID-19 pandemic in Austria

Background: Throughout the COVID-19 pandemic, it was a key priority for governments globally to ensure agreement with, and subsequently adherence to, imposed public health measures, specifically non-pharmaceutical interventions (NPIs). Prior research in this regard highlighted the role of COVID-19 information sources as well as sociodemographic and other personal characteristics, however, there is only limited evidence including both. To bridge this gap, this study investigated the associations of COVID-19 information sources such as social media and participant characteristics with agreement with and adherence to NPIs during the first lockdown in Austria. Methods: An online survey was conducted in May 2020 among adult Austrian residents asking about their experiences during the first lockdown. Collected data included sociodemographic characteristics, main COVID-19-related information sources, agreement with/adherence to three NPIs (no physical contact to family members not living in the same household, leisurely walks restricted to members of the same household, mandatory face masks) and information about perceived social support using the Multidimensional Scale of Perceived Social Support (MSPSS), anxiety/depression levels using the Hospital Anxiety and Depression Scale (HADS), whether participants felt well advised by the government, and whether participants perceived the pandemic to threaten their income. Ordered and multinomial logistic regression models were employed to achieve the research aims. Results: The cross-sectional sample consisted of 559 Austrian residents. Using social media as main COVID-19 information source was consistently associated with lower agreement with NPIs. A positive association with agreement with measures was found for higher educational backgrounds and higher anxiety levels. By contrast, higher levels of depression, not feeling well advised by the government, and perceiving the pandemic as an economic threat were negatively associated with agreement with measures. Moreover, the use of social media as main COVID-19 information source and not feeling well advised by the government were associated with lower adherence to NPIs. By contrast, higher levels of education were associated with higher adherence. Conclusions: This comprehensive analysis emphasizes the associations of COVID-19 information sources as well as sociodemographic and other participant characteristics with agreement with and adherence to NPIs, bearing important implications for future public health crisis communication strategies

Madness in the Media: Understanding How People With Lived Experience Interpret Newspaper Headlines

There is research on media representations of mental health that suggests there is a tendency to portray mental health as problematic and those who are affected by mental illness as dangerous. It is evident there has been an increase in anti-stigma media campaigns. However, the effects of these efforts on beliefs held by members of the public has been mixed. What is most surprising from the literature is a lack of research about how people who have personal experience with mental illness interpret media messages. Individuals with and without lived experience participated in a structured conceptualization process known as concept mapping. Members of each independently grouped together the same news headlines and rated them in importance. Concept maps were constructed for each group and compared. It was found that people with lived experience tended to interpret headlines in a more literal manner while those without lived experience tended to identify underlining themes. The results were compared to the literature and implications were discussed

Spatial and Temporal Analysis of Energy Consumption by Nigerian Households

Master's thesis in Global Development and Planning (UT505)To actualize the SDGs by 2030, it is imperative to assess the successes of nations (especially developing ones) in achieving the set goals. One of such goals is guaranteeing access to dependable, friendly and inexpensive energy for all. Although energy is an essential need of every household, many households in Nigeria are deprived of contemporary energy access. This study aims at ascertaining the prevalence of energy deprivation, the determinants of energydeprivation, energy choices and intensity of energy consumption in Nigeria