Swiping Your Life Away Failing to find love through Dating Apps

This essay focuses on examining the dating experience and interactions in the age of digital technology, specifically where social disempowered users of dating applications tend to reinforce systemic social oppression. This research draws from literature about communication ethics, critical theory studies, digital media studies and includes personal observations and experiences. Even though some apps have allowed minorities; the LGBTQ community, people of color (POC) and other groups, to interact in a platform where they share common interests, there are still some dating apps which are more mainstream. Dating within the same platform where ethical communication and intent has been swayed to a hook up culture online where people run high risks of safety and damage communication ties with other potential partners. Through meeting with strangers, the potential for physical abuse rises and communication strains are at a high rate through the use of dating apps. Besides the communication and personal risks aspects that face disenfranchised communities, I also highlight in this paper the dangers of safety and privacy issues associated with location- based geosocial networking smartphone applications also known as “GSN apps” (Rice et al 1) and the ethical implications of data mining. My research process includes peer review articles that address angles of experience and risk from different minority groups as well as the general public. I examine studies about particular apps such as Grindr, Tinder, Chispa and Bumble where the authors highlight some of the dangers associated with data mining and data sharing by the use of GSN apps. I also include the voices of participants, highlighting their experiences while using the given dating application. This essay highlights how systems of oppression such - racism, sexism, classism and misogyny have carried over into the digital age, where; POC and the LGBT community have been victims of discrimination based on sexual orientation, stereotypes and assumptions about ethnicity. During a three-week period, I conducted interviews and a focus group with college students, including POC and LGBT community members in California, about their experiences using dating apps such as, Tinder, Grindr, Bumble and Chispa. The insight from interviews, plus my observation and articulation with recent scholar work create the foundation for this study. Growing up in the age of technology where the use of dating apps has grown over the years I wanted to understand its purpose in the college sphere, I began to indulge in the use of dating apps and engaged in conversations with friends and peers about the use of a dating app in hopes of creating connections. These conversations sparked my interest in dating apps and the way they are used by adults and young adults, specifically in a college campus while thinking about the implications of data collected by dating app companies from its users

Spatial Privacy Pricing: The Interplay between Privacy, Utility and Price in Geo-Marketplaces

A geo-marketplace allows users to be paid for their location data. Users concerned about privacy may want to charge more for data that pinpoints their location accurately, but may charge less for data that is more vague. A buyer would prefer to minimize data costs, but may have to spend more to get the necessary level of accuracy. We call this interplay between privacy, utility, and price \emph{spatial privacy pricing}. We formalize the issues mathematically with an example problem of a buyer deciding whether or not to open a restaurant by purchasing location data to determine if the potential number of customers is sufficient to open. The problem is expressed as a sequential decision making problem, where the buyer first makes a series of decisions about which data to buy and concludes with a decision about opening the restaurant or not. We present two algorithms to solve this problem, including experiments that show they perform better than baselines.Comment: 10 pages, SIGSPATIAL'2

Consumer behaviour of students on online and offline channel

The examination attempts to understand that how purchaser degree channels for his or her buying. In precise, it advances a calculated model that tends to purchaser esteem discernment for utilising the web buying instead of conventional shopping. Prior research showed that the impact of value, object satisfaction, management high-quality, and hazard emphatically sway obvious worth and purchase functions in the independent and online agency. Perceptions of the net and disconnected purchasers may be assessed to perceive how worth is evolved within the channels. It is heretofore to perceive what components impact the internet and disconnected purchasing choice movement. This investigation aims to give an impact of net purchasing preference interaction by using contrasting the disconnected and online dynamic and spotting the factors that propel clients to conclude whether or not to do net-based purchasing or cross for the disconnected purchasing. Shopper's store while and wherein they need, where they are all right with the items and the selection of purchasing. The exam tracks down that lady are greater into web-based purchasing than male. Since the full latest two years, as the population is extra mindful of the innovation, web-based buying increased. Individuals from the age bunch 30 or more are greater averse to do net-primarily based purchasing when considering that they are less mindful of the innovation. Anyway, the respondent said that they might very tons want to buy from web-based purchasing if just the value of the object is not precisely the marketplace. They uncovered that it is far sincerely imperative to go for e-buying

When and where do you want to hide? Recommendation of location privacy preferences with local differential privacy

In recent years, it has become easy to obtain location information quite precisely. However, the acquisition of such information has risks such as individual identification and leakage of sensitive information, so it is necessary to protect the privacy of location information. For this purpose, people should know their location privacy preferences, that is, whether or not he/she can release location information at each place and time. However, it is not easy for each user to make such decisions and it is troublesome to set the privacy preference at each time. Therefore, we propose a method to recommend location privacy preferences for decision making. Comparing to existing method, our method can improve the accuracy of recommendation by using matrix factorization and preserve privacy strictly by local differential privacy, whereas the existing method does not achieve formal privacy guarantee. In addition, we found the best granularity of a location privacy preference, that is, how to express the information in location privacy protection. To evaluate and verify the utility of our method, we have integrated two existing datasets to create a rich information in term of user number. From the results of the evaluation using this dataset, we confirmed that our method can predict location privacy preferences accurately and that it provides a suitable method to define the location privacy preference

Gay Data

Since its launch in 2009, the geosocial networking service Grindr has become an increasingly mainstream and prominent part of gay culture, both in the United States and globally. Mobile applications like Grindr give users the ability to quickly and easily share information about themselves (in the form of text, numbers, and pictures), and connect with each other in real time on the basis of geographic proximity. I argue that these services constitute an important site for examining how bodies, identities, and communities are translated into data, as well as how data becomes a tool for forming, understanding, and managing personal relationships. Throughout this work, I articulate a model of networked interactivity that conceptualizes self-expression as an act determined by three sometimes overlapping, sometimes conflicting sets of affordances and constraints: (1) technocommercial structures of software and business; (2) cultural and subcultural norms, mores, histories, and standards of acceptable and expected conduct; and (3) sociopolitical tendencies that appear to be (but in fact are not) fixed technocommercial structures. In these discussions, Grindr serves both as a model of processes that apply to social networking more generally, as well as a particular study into how networked interactivity is complicated by the histories and particularities of Western gay culture. Over the course of this dissertation, I suggest ways in which users, policymakers, and developers can productively recognize the liveness, vitality, and durability of personal information in the design, implementation, and use of gay-targeted social networking services. Specifically, I argue that through a focus on (1) open-ended structures of interface design, (2) clear and transparent articulations of service policies, and the rationales behind them, and (3) approaches to user information that promote data sovereignty, designers, developers, and advocates can work to make social networking services, including Grindr, safer and more representative of their users throughout their data’s lifecycle

Factors Associated with Behavioral Intention to Disclose Personal Information on Geosocial Networking Applications

Information privacy is a major concern for consumers adopting emerging technologies dependent on location-based services. This study sought to determine whether a relationship exists among factors of personalization, locatability, perceived playfulness, privacy concern and behavioral intention to disclose personal information for individuals using location-based, geosocial networking applications. Questionnaire responses from undergraduate students at a 4-year university provide insight into these relationships. Multiple regression results indicated that there was a statistically significant relationship between the four significant predictor variables and the dependent variable. Analysis of beta weights, structure coefficients, and commonality analysis shed light on the variance attributable to the predictor variables of the study. Findings provide understanding of the specific factors examined in the study and have implications for consumers, businesses, application designers, and policymakers. The results from this study contribute to an understanding of technology acceptance theory and offer insight into competing beliefs that may affect an individual’s behavioral intention to disclose personal information. Knowledge gained form the study may be useful for overcoming challenges related to consumer adoption of location-based services that require disclosure of personal information