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- All Subjects: Social Media
- Creators: Department of Marketing
Description
Crises or large-scale emergencies such as earthquakes and hurricanes cause massive damage to lives and property. Crisis response is an essential task to mitigate the impact of a crisis. An effective response to a crisis necessitates information gathering and analysis. Traditionally, this process has been restricted to the information collected by first responders on the ground in the affected region or by official agencies such as local governments involved in the response. However, the ubiquity of mobile devices has empowered people to publish information during a crisis through social media, such as the damage reports from a hurricane. Social media has thus emerged as an important channel of information which can be leveraged to improve crisis response. Twitter is a popular medium which has been employed in recent crises. However, it presents new challenges: the data is noisy and uncurated, and it has high volume and high velocity. In this work, I study four key problems in the use of social media for crisis response: effective monitoring and analysis of high volume crisis tweets, detecting crisis events automatically in streaming data, identifying users who can be followed to effectively monitor crisis, and finally understanding user behavior during crisis to detect tweets inside crisis regions. To address these problems I propose two systems which assist disaster responders or analysts to collaboratively collect tweets related to crisis and analyze it using visual analytics to identify interesting regions, topics, and users involved in disaster response. I present a novel approach to detecting crisis events automatically in noisy, high volume Twitter streams. I also investigate and introduce novel methods to tackle information overload through the identification of information leaders in information diffusion who can be followed for efficient crisis monitoring and identification of messages originating from crisis regions using user behavior analysis.
ContributorsKumar, Shamanth (Author) / Liu, Huan (Thesis advisor) / Davulcu, Hasan (Committee member) / Maciejewski, Ross (Committee member) / Agarwal, Nitin (Committee member) / Arizona State University (Publisher)
Created2015
Description
With the rise of social media, hundreds of millions of people spend countless hours all over the globe on social media to connect, interact, share, and create user-generated data. This rich environment provides tremendous opportunities for many different players to easily and effectively reach out to people, interact with them, influence them, or get their opinions. There are two pieces of information that attract most attention on social media sites, including user preferences and interactions. Businesses and organizations use this information to better understand and therefore provide customized services to social media users. This data can be used for different purposes such as, targeted advertisement, product recommendation, or even opinion mining. Social media sites use this information to better serve their users.
Despite the importance of personal information, in many cases people do not reveal this information to the public. Predicting the hidden or missing information is a common response to this challenge. In this thesis, we address the problem of predicting user attributes and future or missing links using an egocentric approach. The current research proposes novel concepts and approaches to better understand social media users in twofold including, a) their attributes, preferences, and interests, and b) their future or missing connections and interactions. More specifically, the contributions of this dissertation are (1) proposing a framework to study social media users through their attributes and link information, (2) proposing a scalable algorithm to predict user preferences; and (3) proposing a novel approach to predict attributes and links with limited information. The proposed algorithms use an egocentric approach to improve the state of the art algorithms in two directions. First by improving the prediction accuracy, and second, by increasing the scalability of the algorithms.
Despite the importance of personal information, in many cases people do not reveal this information to the public. Predicting the hidden or missing information is a common response to this challenge. In this thesis, we address the problem of predicting user attributes and future or missing links using an egocentric approach. The current research proposes novel concepts and approaches to better understand social media users in twofold including, a) their attributes, preferences, and interests, and b) their future or missing connections and interactions. More specifically, the contributions of this dissertation are (1) proposing a framework to study social media users through their attributes and link information, (2) proposing a scalable algorithm to predict user preferences; and (3) proposing a novel approach to predict attributes and links with limited information. The proposed algorithms use an egocentric approach to improve the state of the art algorithms in two directions. First by improving the prediction accuracy, and second, by increasing the scalability of the algorithms.
ContributorsAbbasi, Mohammad Ali, 1975- (Author) / Liu, Huan (Thesis advisor) / Davulcu, Hasan (Committee member) / Ye, Jieping (Committee member) / Agarwal, Nitin (Committee member) / Arizona State University (Publisher)
Created2014
Description
This research start utilizing an efficient sparse inverse covariance matrix (precision matrix) estimation technique to identify a set of highly correlated discriminative perspectives between radical and counter-radical groups. A ranking system has been developed that utilizes ranked perspectives to map Islamic organizations on a set of socio-cultural, political and behavioral scales based on their web site corpus. Simultaneously, a gold standard ranking of these organizations was created through domain experts and compute expert-to-expert agreements and present experimental results comparing the performance of the QUIC based scaling system to another baseline method for organizations. The QUIC based algorithm not only outperforms the baseline methods, but it is also the only system that consistently performs at area expert-level accuracies for all scales. Also, a multi-scale ideological model has been developed and it investigates the correlates of Islamic extremism in Indonesia, Nigeria and UK. This analysis demonstrate that violence does not correlate strongly with broad Muslim theological or sectarian orientations; it shows that religious diversity intolerance is the only consistent and statistically significant ideological correlate of Islamic extremism in these countries, alongside desire for political change in UK and Indonesia, and social change in Nigeria. Next, dynamic issues and communities tracking system based on NMF(Non-negative Matrix Factorization) co-clustering algorithm has been built to better understand the dynamics of virtual communities. The system used between Iran and Saudi Arabia to build and apply a multi-party agent-based model that can demonstrate the role of wedges and spoilers in a complex environment where coalitions are dynamic. Lastly, a visual intelligence platform for tracking the diffusion of online social movements has been developed called LookingGlass to track the geographical footprint, shifting positions and flows of individuals, topics and perspectives between groups. The algorithm utilize large amounts of text collected from a wide variety of organizations’ media outlets to discover their hotly debated topics, and their discriminative perspectives voiced by opposing camps organized into multiple scales. Discriminating perspectives is utilized to classify and map individual Tweeter’s message content to social movements based on the perspectives expressed in their tweets.
ContributorsKim, Nyunsu (Author) / Davulcu, Hasan (Thesis advisor) / Sen, Arunabha (Committee member) / Hsiao, Sharon (Committee member) / Corman, Steven (Committee member) / Arizona State University (Publisher)
Created2018
Description
This paper looks at the growth of influencer marketing in application and how it has shifted the relationship between brands and consumers. Barriers to enter the space and methods of practice are discussed and analyzed to project the accessibility of obtaining influencer status. Best practices for brands and influencers are outlined based on research, and key findings are analyzed from interviewed participants that play an active role in the field. Another component of the paper includes the discussion of the significance of platform dependence regarding influencers and brands using social media channels to reach consumers. The dynamic of the relationship that exists between consumers, brands and platforms is demonstrated through a model to demonstrate the interdependence of the relationship. The final component of the paper involves the exploration of the field as an active participant through an experiment that was conducted by the researcher on behalf of the question: can anyone be an influencer? The answer to this question is explored through personal accounts on the journey during an eight month process of testing content creation and promotion to build awareness and increase engagement. The barriers to enter the space as an influencer and to collaborate with brands is addressed through the process of testing tactics and strategies on social channels, along with travel expeditions across Arizona to contribute to content creation purposed into blog articles. The findings throughout the paper are conclusive that the value of influencer marketing is increasing as more brands validate and utilize this method in their marketing efforts.
ContributorsDavis, Natalie Marie (Author) / Giles, Bret (Thesis director) / Schlacter, John (Committee member) / Department of Information Systems (Contributor) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
This thesis will examine the recruitment process of educated millennials coming from four-year institutions to their first job out of college. When referring to millennials throughout my research, I am specifically focusing on current college graduates in order to better relate to my own experiences as a soon-to-be-graduate seeking a job. I will examine the various recruiting techniques, i.e. channels to connect with graduates, and the hiring and interview process as a whole. This thesis will also discuss the challenges and differences of recruiting millennials versus other generations. It will also discuss the latest trends in college and early talent recruiting. In order to do this, I conducted a number of in-depth interviews with recruiters and hiring managers from various companies that recruit heavily from Arizona State University (ASU), in order to determine what these companies have done to be successful among young college graduates. I aimed to identify the specific techniques that these companies use to connect with recent college graduates, what skills these firms are looking for, and what the hiring process looks like for new millennial employees. I also conducted an extensive online literature search about recruiting educated millennials in the workforce, and I used that information as a basis to form my interview questions. The interviews were meant to confirm or deny that research, but the interviewees also revealed many new trends and insights. I hope that this information will be beneficial not only to college seniors seeking first-time employment, but also to other companies who feel that they are struggling to capture young talent.
ContributorsCapra, Alexandria Luccia (Author) / Kalika, Dale (Thesis director) / Eaton, Kathryn (Committee member) / W. P. Carey School of Business (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Nonprofits often struggle in fully implementing a successful social media strategy. These organizations neglect to create and maintain relationships with stakeholders, engage their audience, and build brand awareness in an online setting. As social media has essentially become one of the largest sources of information dissemination and one of the most populated platforms in the online world, a nonprofit's online presence has become increasingly important. Through a 22-day content analysis and 43-question survey that was distributed to the general public on Twitter and Facebook, this paper looks comprehensively into the elements and tactics used by Make-A-Wish, Halo and ALS Association. Based off of the research findings from this study, important aspects of these nonprofits' online strategy will be identified and analyzed.
ContributorsJoseph, Teresa Marie (Author) / Wu, Xu (Thesis director) / Thornton, Leslie (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Every day, millions of messages are posted across various social media channels, creating a golden opportunity for diligent stock traders. This "big data" can be overwhelming, yet incredibly powerful when analyzed properly. The Effect of Social Media on Stock Prices uncovers the ways in which social media messages can trigger abnormal stock price movements, and provides insight into how traders can utilize this information. These findings are organized into a step-by-step action plan that allows traders to formulate trading plans using data from social media channels. This action plan is fueled by an in-depth look at the stock market and social media industries, an analysis of the most important social media channels and messages, and case studies that took place during the duration of this project. This data may used to enable traders to focus on the right messages from the right sources at the right times. By developing the proper criteria for finding, filtering, and analyzing appropriate social media messages, traders can gain an edge in the stock market and increase their profitability.
ContributorsAndrews, Joshua (Author) / Giles, Bret (Thesis director) / Denning, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor)
Created2015-05
Description
The selfie craze has taken over smartphone users. Despite a wealth of published opinion pieces on the matter, there lacks a constructive and academically-based dialogue about selfies. "Presentation of Selfie" is a creative, interactive space that analyzes a sample of collected selfies. The project takes a look at how age, relationships and identities play a role in the social significance of selfie culture.
ContributorsJeffords, Alison Rae (Author) / McGibbney-Vlahoulis, Michelle (Thesis director) / Leong, Karen (Committee member) / Barrett, The Honors College (Contributor) / School of Social Transformation (Contributor) / Department of Marketing (Contributor)
Created2015-05
Description
This researcher set out to determine whether small businesses can achieve considerable business success by utilizing social media as a public relations tool to create a brand image. There is a substantial breadth of research regarding the social media successes of large companies, but the same is not true for small businesses. This researcher aims to add to the existing pool of literature dealing with small businesses and creating social media success. First, relevant literature was examined to determine the state of the small business landscape online and to identify best practices for social media. Then the researcher analyzed three published case studies that detailed social media campaigns from three different small businesses. The researcher used the information obtained in the literature review and case study analysis to create a comprehensive social media strategy for Crosswim, a small business based in Tempe, Arizona. The culmination of this research showed that small businesses can indeed create success and brand equity by implementing a strategic social media plan. It was uncovered that social media gives small business owners the tools to create a strategy that works best for them in terms of their business and in terms of the time the owners can devote to monitoring social media.
ContributorsHolmes, Taylor Elizabeth (Author) / Wu, Xu (Thesis director) / Thornton, Leslie (Committee member) / Department of Marketing (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
The goal of this thesis research was to figure out if there were tangible differences between the way men and women speak on Twitter, a micro blogging social media site, and to see if there ways to apply it to strategizing marketing campaigns. AntConc, a free concordance software by Lawrence Anthony, was used to help organize and analyze a corpus created from the Tweets that were collected form the public accounts of twelve different popular public figures. These individuals were chosen based on their profession or the industry that they are associated with, as well as their general popularity. The research focused on three main industries or professions that can be viewed as ‘gendered;’ which were ‘Modeling,’ ‘Fashion Publications,’ and ‘Sports.’ The data was then analyzed across five different main categories which included, ‘Additional Media,’ ‘Adjective Usage,’ ‘How are they talking?,’ ‘Who are they talking about?, and ‘What are they talking about?’ The primary data, along with secondary research was used to see if they words and language use of men and women aligned with stereotypical patterns or if there were patterns that were unique and overlooked.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
ContributorsChan, Kayla Rose (Author) / Adams, Karen (Thesis director) / Shinabarger, Amy D. (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of English (Contributor)
Created2015-05