Author: Cristina Fernández-Rovira Publisher: CRC Press ISBN: 1000626148 Category : Technology & Engineering Languages : en Pages : 210
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: 1000626156 Category : Technology & Engineering Languages : en Pages : 233
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
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: Nripendra P. Rana Publisher: Springer Nature ISBN: 3030243745 Category : Business & Economics Languages : en Pages : 337
Book Description
This book examines issues and implications of digital and social media marketing for emerging markets. These markets necessitate substantial adaptations of developed theories and approaches employed in the Western world. The book investigates problems specific to emerging markets, while identifying new theoretical constructs and practical applications of digital marketing. It addresses topics such as electronic word of mouth (eWOM), demographic differences in digital marketing, mobile marketing, search engine advertising, among others. A radical increase in both temporal and geographical reach is empowering consumers to exert influence on brands, products, and services. Information and Communication Technologies (ICTs) and digital media are having a significant impact on the way people communicate and fulfil their socio-economic, emotional and material needs. These technologies are also being harnessed by businesses for various purposes including distribution and selling of goods, retailing of consumer services, customer relationship management, and influencing consumer behaviour by employing digital marketing practices. This book considers this, as it examines the practice and research related to digital and social media marketing.
Author: Mohammad A. Tayebi Publisher: Springer ISBN: 3319414925 Category : Computers Languages : en Pages : 141
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.
Author: Eric Siegel Publisher: John Wiley & Sons ISBN: 1119153654 Category : Business & Economics Languages : en Pages : 368
Book Description
"Mesmerizing & fascinating..." —The Seattle Post-Intelligencer "The Freakonomics of big data." —Stein Kretsinger, founding executive of Advertising.com Award-winning | Used by over 30 universities | Translated into 9 languages An introduction for everyone. In this rich, fascinating — surprisingly accessible — introduction, leading expert Eric Siegel reveals how predictive analytics (aka machine learning) works, and how it affects everyone every day. Rather than a “how to” for hands-on techies, the book serves lay readers and experts alike by covering new case studies and the latest state-of-the-art techniques. Prediction is booming. It reinvents industries and runs the world. Companies, governments, law enforcement, hospitals, and universities are seizing upon the power. These institutions predict whether you're going to click, buy, lie, or die. Why? For good reason: predicting human behavior combats risk, boosts sales, fortifies healthcare, streamlines manufacturing, conquers spam, optimizes social networks, toughens crime fighting, and wins elections. How? Prediction is powered by the world's most potent, flourishing unnatural resource: data. Accumulated in large part as the by-product of routine tasks, data is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is a gold mine. Big data embodies an extraordinary wealth of experience from which to learn. Predictive analytics (aka machine learning) unleashes the power of data. With this technology, the computer literally learns from data how to predict the future behavior of individuals. Perfect prediction is not possible, but putting odds on the future drives millions of decisions more effectively, determining whom to call, mail, investigate, incarcerate, set up on a date, or medicate. In this lucid, captivating introduction — now in its Revised and Updated edition — former Columbia University professor and Predictive Analytics World founder Eric Siegel reveals the power and perils of prediction: What type of mortgage risk Chase Bank predicted before the recession. Predicting which people will drop out of school, cancel a subscription, or get divorced before they even know it themselves. Why early retirement predicts a shorter life expectancy and vegetarians miss fewer flights. Five reasons why organizations predict death — including one health insurance company. How U.S. Bank and Obama for America calculated the way to most strongly persuade each individual. Why the NSA wants all your data: machine learning supercomputers to fight terrorism. How IBM's Watson computer used predictive modeling to answer questions and beat the human champs on TV's Jeopardy! How companies ascertain untold, private truths — how Target figures out you're pregnant and Hewlett-Packard deduces you're about to quit your job. How judges and parole boards rely on crime-predicting computers to decide how long convicts remain in prison. 182 examples from Airbnb, the BBC, Citibank, ConEd, Facebook, Ford, Google, the IRS, LinkedIn, Match.com, MTV, Netflix, PayPal, Pfizer, Spotify, Uber, UPS, Wikipedia, and more. How does predictive analytics work? This jam-packed book satisfies by demystifying the intriguing science under the hood. For future hands-on practitioners pursuing a career in the field, it sets a strong foundation, delivers the prerequisite knowledge, and whets your appetite for more. A truly omnipresent science, predictive analytics constantly affects our daily lives. Whether you are a
Author: Simona Chiodo Publisher: Taylor & Francis ISBN: 1040044646 Category : Philosophy Languages : en Pages : 142
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
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: Stephan Dahl Publisher: SAGE ISBN: 1473910684 Category : Business & Economics Languages : en Pages : 289
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: Giorgio De Maria Publisher: Liveright Publishing ISBN: 1631492306 Category : Fiction Languages : en Pages : 119
Book Description
An NPR Best Book of the Year Written during the height of the 1970s Italian domestic terror, a cult novel, with distinct echoes of Lovecraft and Borges, makes its English-language debut. In the spare wing of a church-run sanatorium, some zealous youths create "the Library," a space where lonely citizens can read one another’s personal diaries and connect with like-minded souls in "dialogues across the ether." But when their scribblings devolve into the ugliest confessions of the macabre, the Library’s users learn too late that a malicious force has consumed their privacy and their sanity. As the city of Turin suffers a twenty-day "phenomenon of collective psychosis" culminating in nightly massacres that hundreds of witnesses cannot explain, the Library is shut down and erased from history. That is, until a lonely salaryman decides to investigate these mysterious events, which the citizenry of Turin fear to mention. Inevitably drawn into the city’s occult netherworld, he unearths the stuff of modern nightmares: what’s shared can never be unshared. An allegory inspired by the grisly neo-fascist campaigns of its day, The Twenty Days of Turin has enjoyed a fervent cult following in Italy for forty years. Now, in a fretful new age of "lone-wolf" terrorism fueled by social media, we can find uncanny resonances in Giorgio De Maria’s vision of mass fear: a mute, palpitating dread that seeps into every moment of daily existence. With its stunning anticipation of the Internet—and the apocalyptic repercussions of oversharing—this bleak, prescient story is more disturbingly pertinent than ever. Brilliantly translated into English for the first time by Ramon Glazov, The Twenty Days of Turin establishes De Maria’s place among the literary ranks of Italo Calvino and beside classic horror masters such as Edgar Allan Poe and H. P. Lovecraft. Hauntingly imaginative, with visceral prose that chills to the marrow, the novel is an eerily clairvoyant magnum opus, long overdue but ever timely.
Author: Cristina Fernández-Rovira
Author: Cristina Fernández-Rovira
Author: Introbooks
Author: Nripendra P. Rana
Author: Mohammad A. Tayebi
Author: Eric Siegel
Author: Simona Chiodo
Author: Fabio Crestani
Author: Stephan Dahl
Author: Giorgio De Maria