32,554 research outputs found

    Inefficiencies in Digital Advertising Markets

    Get PDF
    Digital advertising markets are growing and attracting increased scrutiny. This article explores four market inefficiencies that remain poorly understood: ad effect measurement, frictions between and within advertising channel members, ad blocking, and ad fraud. Although these topics are not unique to digital advertising, each manifests in unique ways in markets for digital ads. The authors identify relevant findings in the academic literature, recent developments in practice, and promising topics for future research

    Data analytics and algorithms in policing in England and Wales: Towards a new policy framework

    Get PDF
    RUSI was commissioned by the Centre for Data Ethics and Innovation (CDEI) to conduct an independent study into the use of data analytics by police forces in England and Wales, with a focus on algorithmic bias. The primary purpose of the project is to inform CDEI’s review of bias in algorithmic decision-making, which is focusing on four sectors, including policing, and working towards a draft framework for the ethical development and deployment of data analytics tools for policing. This paper focuses on advanced algorithms used by the police to derive insights, inform operational decision-making or make predictions. Biometric technology, including live facial recognition, DNA analysis and fingerprint matching, are outside the direct scope of this study, as are covert surveillance capabilities and digital forensics technology, such as mobile phone data extraction and computer forensics. However, because many of the policy issues discussed in this paper stem from general underlying data protection and human rights frameworks, these issues will also be relevant to other police technologies, and their use must be considered in parallel to the tools examined in this paper. The project involved engaging closely with senior police officers, government officials, academics, legal experts, regulatory and oversight bodies and civil society organisations. Sixty nine participants took part in the research in the form of semi-structured interviews, focus groups and roundtable discussions. The project has revealed widespread concern across the UK law enforcement community regarding the lack of official national guidance for the use of algorithms in policing, with respondents suggesting that this gap should be addressed as a matter of urgency. Any future policy framework should be principles-based and complement existing police guidance in a ‘tech-agnostic’ way. Rather than establishing prescriptive rules and standards for different data technologies, the framework should establish standardised processes to ensure that data analytics projects follow recommended routes for the empirical evaluation of algorithms within their operational context and evaluate the project against legal requirements and ethical standards. The new guidance should focus on ensuring multi-disciplinary legal, ethical and operational input from the outset of a police technology project; a standard process for model development, testing and evaluation; a clear focus on the human–machine interaction and the ultimate interventions a data driven process may inform; and ongoing tracking and mitigation of discrimination risk

    PRACTICES AND PERCEPTIONS OF SOCIAL MEDIA AMONG LEADERS IN HIGHER EDUCATION: A QUANTITATIVE STUDY

    Get PDF
    This quantitative dissertation study explored the social media practices and perceptions of 452 leaders of 142 public and private non-profit four-year degree granting institutions in the western United States. Descriptive statistics were calculated for gender, position title, age, social media use, and attitudes regarding themes revealed in a review of current literature. Then, a Spearman Rho analysis was used to measure the strength of correlation between hours using social media and rank scores of social media attitudes. The study revealed that about 85% of leaders use social media for an average of 4.54 hours per week (SD=5.59, N=452). Social media use was higher among younger leaders, and social media use among the participants was higher compared to the general population

    AAPOR Report on Big Data

    Get PDF
    In recent years we have seen an increase in the amount of statistics in society describing different phenomena based on so called Big Data. The term Big Data is used for a variety of data as explained in the report, many of them characterized not just by their large volume, but also by their variety and velocity, the organic way in which they are created, and the new types of processes needed to analyze them and make inference from them. The change in the nature of the new types of data, their availability, the way in which they are collected, and disseminated are fundamental. The change constitutes a paradigm shift for survey research.There is a great potential in Big Data but there are some fundamental challenges that have to be resolved before its full potential can be realized. In this report we give examples of different types of Big Data and their potential for survey research. We also describe the Big Data process and discuss its main challenges

    Big data analytics:Computational intelligence techniques and application areas

    Get PDF
    Big Data has significant impact in developing functional smart cities and supporting modern societies. In this paper, we investigate the importance of Big Data in modern life and economy, and discuss challenges arising from Big Data utilization. Different computational intelligence techniques have been considered as tools for Big Data analytics. We also explore the powerful combination of Big Data and Computational Intelligence (CI) and identify a number of areas, where novel applications in real world smart city problems can be developed by utilizing these powerful tools and techniques. We present a case study for intelligent transportation in the context of a smart city, and a novel data modelling methodology based on a biologically inspired universal generative modelling approach called Hierarchical Spatial-Temporal State Machine (HSTSM). We further discuss various implications of policy, protection, valuation and commercialization related to Big Data, its applications and deployment

    The Usage of Personal Data as Content in Integrated Marketing Communications

    Get PDF
    Personal user data has proven extremely valuable for firms in the digital age. The wealth of data available to firms has provided unprecedented access into the world of the consumer. Companies hoping to capitalize on their user's data have turned to several interesting outlets. This research addresses the repurposing of user data as content in marketing. By analyzing four cases of data presented as marketing communications across two companies, this research provides new insights into the public release of private user data for marketing purposes. Four cases of personal data used in marketing communications were chosen specifically for their time proximity, characteristics of the sending firms, and their disparate outcomes. These instances of marketing communications, two by Spotify and two by Netflix, were released during November and December of 2017 and each resulted in a diverse range of public opinion. An analysis of these cases was conducted using the comprehensive framework of integrated marketing communications (Tafesse & Kitchen, 2017). There is a significant difference in the perceptual outcomes of integrated marketing communication campaigns which display user data as content. This analysis provides insights into the characteristics of marketing communications and how their outcomes fit into broader marketing strategies. These case studies provide opportunities for marketers to improve their campaigns in line with their desired audience outcome. Patterns of scope, strategy, mode, and outcome do not suggest success or failure in the context of marketing communications, but rather a set of insights marketers should keep in mind when pursuing communication strategies which harness personal user data.No embargoAcademic Major: Marketin

    Post-9/11 Illegal Immigrant Detention and Deportation: Terrorism and the Criminalization of Immigration

    Full text link
    This paper analyzes the changes in immigration policy since the terrorist attacks of September 11, 2001 in terms of how immigrants are viewed in the United States. The goal is to address the recent criminalization of immigration in that the perceptions of terrorists and immigrants have become relatively synonymous since 2001. Although deportations have decreased, immigrant detention has increased significantly. Detention centers pose threats to the basic human rights of the immigrants residing in them, as well as perpetuate the culture of fear enveloping recent immigrants, whether they are legally or illegally in the country, and native United States citizens alike. Being that globalization encourages the blurring of borders and the movement of people across them, it plays a crucial role in the discussion of immigration and the treatment of immigrants in the United States. Globalization has the power to spread and influence public opinion more quickly than ever before in history, which houses potential for both the circulation of the criminalization of immigration and the standardization of the promotion of diversity and human rights. These parallels will be analyzed as they relate to immigration in a post-9/11 globally integrated society

    Understanding Consumer Sentiments: Exploring the Role of Artificial Intelligence in Marketing

    Get PDF
    This research article presents a comprehensive review of the industrial opportunities of AI in marketing. The study begins with an introduction highlighting the significance of AI in marketing and its transformative potential. The literature review focuses on three key aspects: understanding consumer sentiments, market insights, and the use of AI in marketing. The review highlights the role of AI in understanding consumer sentiments through sentiment analysis, enabling marketers to gain valuable market insights. It explores the industrial opportunities of AI, including personalized marketing, predictive analytics, and customer segmentation. Additionally, the review discusses the use of AI in enhancing customer satisfaction, improving electronic word-of-mouth insights, and measuring market performance. The research methodology involved a systematic review of academic articles, industry reports, and conference papers. The findings reveal that AI-driven market sentiment analysis uncovers significant patterns, trends, and correlations in consumer sentiment data. This enables marketers to make data-driven decisions and develop effective marketing strategies. The implications of these findings for marketing strategies and decision-making processes are discussed. In conclusion, this research emphasizes the industrial opportunities of AI in marketing and provides insights for practitioners and researchers. Leveraging AI technologies can enhance market insights, improve customer satisfaction, and optimize marketing performance. The study contributes to the understanding of AI's application in marketing and serves as a foundation for future research. Marketers are encouraged to embrace AI to gain a competitive edge in the evolving marketing landscape

    A Policy Advocacy Dissertation to Increase Transparency and Accountability through Social Return on Investment Analysis

    Get PDF
    The connection between the funding of public schools and student achievement is complex. Facing dwindling revenue streams, schools and the communities they serve must begin to assess how effectively and efficiently school systems are utilizing federal, state, and local taxpayer resources. As seen in the previous program evaluation and change leadership projects, the Social Return On Investment (SROI) methodology provides a framework that yields a statistically reliable vehicle for doing so that garners trust through transparency. Toward this end, this document advocates for school districts and their boards of education to incorporate the SROI analysis as an essential element of their ongoing district-wide evaluation process
    • …
    corecore