Author: Cristina Fernández-Rovira
Publisher: CRC Press
ISBN: 1000626156
Category : Technology & Engineering
Languages : en
Pages : 233
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Book Description
Can behaviour on social media predict future purchase patterns? Can what we click on social media foresee which political party will we vote for? Can the information we share on our wall foretell the next series I might want to watch? Can the likes on Instagram and Facebook predict the time one will spend on digital platforms in the next hour? The answer is no longer science fiction. It points to the ability of mainstream social media platforms such as Facebook and Twitter to be able to deliver specialised advertising services to highly targeted audience segments controlled by the billions of devices that flood our daily lives. At the same time, it highlights a more relevant problem: can social media guide, suggest or impose a certain behaviour or thought? Everything seems to indicate that they can do it. Predictive Technology in Social Media comprises 10 essays that reflect on the power of the predictive technology of social media in culture, entertainment, marketing, economics and politics. It shows, from a humanistic and critical perspective, the predictive possibilities of social media platforms, as well as the risks this entails for cultural plurality, everyday consumption, the monopolistic concentration of the economy and attention, and democracy. The text is an invitation to think, as citizens, about the unbridled power we have ceded to digital platforms. A new voice to warn about the greatest concentration of communicative power ever seen in the history of humanity.
Author: Cristina Fernández-Rovira
Publisher: CRC Press
ISBN: 1000626148
Category : Technology & Engineering
Languages : en
Pages : 210
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Book Description
Can behaviour on social media predict future purchase patterns? Can what we click on social media foresee which political party will we vote for? Can the information we share on our wall foretell the next series I might want to watch? Can the likes on Instagram and Facebook predict the time one will spend on digital platforms in the next hour? The answer is no longer science fiction. It points to the ability of mainstream social media platforms such as Facebook and Twitter to be able to deliver specialised advertising services to highly targeted audience segments controlled by the billions of devices that flood our daily lives. At the same time, it highlights a more relevant problem: can social media guide, suggest or impose a certain behaviour or thought? Everything seems to indicate that they can do it. Predictive Technology in Social Media comprises 10 essays that reflect on the power of the predictive technology of social media in culture, entertainment, marketing, economics and politics. It shows, from a humanistic and critical perspective, the predictive possibilities of social media platforms, as well as the risks this entails for cultural plurality, everyday consumption, the monopolistic concentration of the economy and attention, and democracy. The text is an invitation to think, as citizens, about the unbridled power we have ceded to digital platforms. A new voice to warn about the greatest concentration of communicative power ever seen in the history of humanity.
Author: Introbooks
Publisher:
ISBN:
Category :
Languages : en
Pages : 80
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Book Description
Artificial Intelligence has revolutionized and transformed Social Media in many innovative ways. With around 3 billion people connected to various social media platforms, they are generating a huge mass of data. Now the question is, "Why should social media be concerned about all this data floating around?" The answer to this question is that this 'meta - data' is of great value to social media platforms.One reason is that the social networks can keep themselves relevant with times only if they keep themselves abreast about the needs, wants and choices of the users from multiple geographical locations. Another reason is that they get to monetize this information when they share their platforms with advertisers and marketers. AI is one single solution for both these scenarios.
Author: Prabhsimran Singh
Publisher: Independent Author
ISBN: 9781805451143
Category : Computers
Languages : en
Pages : 0
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Book Description
The Web revolutionized communication twice, first when it was invented and second when social media enabled people, who were not computer experts, to make content publicly available and communicate with other users all around the world breaking the geographical barrier (Daniels and Friborg, 2016; Ellison and Boyd, 2013). The last decade has witnessed a great advancement in the field of information and communication technologies (ICT). This has led to a better internet connectivity and easy accessibility of cheap hand-held devices. These factors have played a crucial role in an exponential rise in the number of social media users worldwide (Statista, 2019a).
Author: Simona Chiodo
Publisher: Taylor & Francis
ISBN: 1040044646
Category : Philosophy
Languages : en
Pages : 142
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Book Description
Predicting our future as individuals is central to the role of much emerging technology, from hiring algorithms that predict our professional success (or failure) to biomarkers that predict how long (or short) our healthy (or unhealthy) life will be. Yet, much in Western culture, from scripture to mythology to philosophy, suggests that knowing one’s future may not be in the subject’s best interests and might even lead to disaster. If predicting our future as individuals can be harmful as well as beneficial, why are we so willing to engage in so much prediction, from cradle to grave? This book offers a philosophical answer, reflecting on seminal texts in Western culture to argue that predicting our future renders much of our existence the automated effect of various causes, which, in turn, helps to alleviate the existential burden of autonomously making sense of our lives in a more competitive, demanding, accelerated society. An exploration of our tendency in a technological era to engineer and so rid ourselves of that which has hitherto been our primary reason for being – making life plans for a successful future, while faced with epistemological and ethical uncertainties – Predicted Humans will appeal to scholars of philosophy and social theory with interests in questions of moral responsibility and meaning in an increasingly technological world.
Author: Fabio Crestani
Publisher: Springer Nature
ISBN: 3031044312
Category : Technology & Engineering
Languages : en
Pages : 337
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Book Description
eRisk stands for Early Risk Prediction on the Internet. It is concerned with the exploration of techniques for the early detection of mental health disorders which manifest in the way people write and communicate on the internet, in particular in user generated content (e.g. Facebook, Twitter, or other social media). Early detection technologies can be employed in several different areas but particularly in those related to health and safety. For instance, early alerts could be sent when the writing of a teenager starts showing increasing signs of depression, or when a social media user starts showing suicidal inclinations, or again when a potential offender starts publishing antisocial threats on a blog, forum or social network. eRisk has been the pioneer of a new interdisciplinary area of research that is potentially applicable to a wide variety of situations, problems and personal profiles. This book presents the best results of the first five years of the eRisk project which started in 2017 and developed into one of the most successful track of CLEF, the Conference and Lab of the Evaluation Forum.
Author: Hossain, Syed Far Abid
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 343
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Book Description
In the 21st century, social media has emerged as a pivotal force shaping business strategies and entrepreneurship. The rapid evolution of social media platforms poses a pressing question: how can one effectively address this fast-paced transformation? Cases on Social Media and Entrepreneurship explores this and delves into media entrepreneurship, giving special attention to its role in developing women entrepreneurs. It skillfully tackles the challenge of gender disparities within the entrepreneurial landscape. Simultaneously, it also explores how to harness the power of artificial intelligence amid the integration challenges it presents, offering instrumental insights for entrepreneurs and investors, stakeholders, government officials, and policymakers. The book does not stop at identifying challenges; it propels the discourse forward by exploring the future of social media entrepreneurship in business. Addressing AI-related concerns, the book investigates whether it threatens social media entrepreneurs or opens up new avenues for growth. Themes like poverty alleviation, the impact on advertising costs, and the intersection of social media entrepreneurship with AI-driven advancements are thoroughly examined.
Author: Stephan Dahl
Publisher: SAGE
ISBN: 1473910684
Category : Business & Economics
Languages : en
Pages : 289
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Book Description
Social media has quickly become part of the fabric of our daily lives, and as we have flocked to it, so have most companies and organisations from every sector and industry. It is now the place to attract and sustain our attention. But how is it a new marketing activity and how is it similar to previous practice and customer behaviour? Does it require new modes of thinking about human networks and communications or do the existing conceptual models still apply? This book offers a critical evaluation of the theoretical frameworks that can be used to explain and utilise social media, and applies them to fun real-life examples and case studies from a range of industries, companies and countries. These include Unilever, Snickers, American Express, Volkswagen and Amnesty International, and span campaigns run across different platforms in countries such as China, Canada, Sweden and Singapore. Readers are invited to think about the different types of social media users and explore topics such as brand loyalty, co-creation, marketing strategy, measurement, mobile platforms, privacy and ethics. As well as tracing the emergence and trends of Web 2.0 and what they mean for marketing, the author also considers the future for social media marketing. Discussion questions and further reading are provided throughout, and the book is accompanied by a companion website.
Author: Omer Artun
Publisher: John Wiley & Sons
ISBN: 1119037336
Category : Business & Economics
Languages : en
Pages : 284
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Book Description
Make personalized marketing a reality with this practical guide to predictive analytics Predictive Marketing is a predictive analytics primer for organizations large and small, offering practical tips and actionable strategies for implementing more personalized marketing immediately. The marketing paradigm is changing, and this book provides a blueprint for navigating the transition from creative- to data-driven marketing, from one-size-fits-all to one-on-one, and from marketing campaigns to real-time customer experiences. You'll learn how to use machine-learning technologies to improve customer acquisition and customer growth, and how to identify and re-engage at-risk or lapsed customers by implementing an easy, automated approach to predictive analytics. Much more than just theory and testament to the power of personalized marketing, this book focuses on action, helping you understand and actually begin using this revolutionary approach to the customer experience. Predictive analytics can finally make personalized marketing a reality. For the first time, predictive marketing is accessible to all marketers, not just those at large corporations — in fact, many smaller organizations are leapfrogging their larger counterparts with innovative programs. This book shows you how to bring predictive analytics to your organization, with actionable guidance that get you started today. Implement predictive marketing at any size organization Deliver a more personalized marketing experience Automate predictive analytics with machine learning technology Base marketing decisions on concrete data rather than unproven ideas Marketers have long been talking about delivering personalized experiences across channels. All marketers want to deliver happiness, but most still employ a one-size-fits-all approach. Predictive Marketing provides the information and insight you need to lift your organization out of the campaign rut and into the rarefied atmosphere of a truly personalized customer experience.
Author: Mohammad A. Tayebi
Publisher: Springer
ISBN: 3319414925
Category : Computers
Languages : en
Pages : 133
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Book Description
This book focuses on applications of social network analysis in predictive policing. Data science is used to identify potential criminal activity by analyzing the relationships between offenders to fully understand criminal collaboration patterns. Co-offending networks—networks of offenders who have committed crimes together—have long been recognized by law enforcement and intelligence agencies as a major factor in the design of crime prevention and intervention strategies. Despite the importance of co-offending network analysis for public safety, computational methods for analyzing large-scale criminal networks are rather premature. This book extensively and systematically studies co-offending network analysis as effective tool for predictive policing. The formal representation of criminological concepts presented here allow computer scientists to think about algorithmic and computational solutions to problems long discussed in the criminology literature. For each of the studied problems, we start with well-founded concepts and theories in criminology, then propose a computational method and finally provide a thorough experimental evaluation, along with a discussion of the results. In this way, the reader will be able to study the complete process of solving real-world multidisciplinary problems.
