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- Title
- Advertising Risk: A Comparative Content Analysis of Contraceptive Advertisements Targeting Black and White Women.
- Creator
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Rogers, Tiffany, Carter, Shannon, Grauerholz, Liz, Broome, Amy, University of Central Florida
- Abstract / Description
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This research compared contraceptive advertisements in two top-circulated publications for white and African American female subscribers, Cosmopolitan and Essence. Data consisted of a sample of 172 contraceptive advertisements from the two magazines published between 1992 and 2012. Quantitative analysis focused on the model(s)' race, age, marital status, and socioeconomic status; the type of contraceptive being advertised; and the reason stated in the ad for using the product. This analysis...
Show moreThis research compared contraceptive advertisements in two top-circulated publications for white and African American female subscribers, Cosmopolitan and Essence. Data consisted of a sample of 172 contraceptive advertisements from the two magazines published between 1992 and 2012. Quantitative analysis focused on the model(s)' race, age, marital status, and socioeconomic status; the type of contraceptive being advertised; and the reason stated in the ad for using the product. This analysis determined a disparity in the rate of advertisement of doctor-administered contraceptives for the publications of 25.4 percent in Essence magazine and 9.5 percent in Cosmopolitan magazine. Black women were targeted with long-term, doctor-administered birth control ads more frequently than white women over a twenty-year period, which correlates with findings of previous studies suggesting minority women receive these types of birth control more often than their white counterparts. Qualitative analysis focused on the written messages in the advertisements. This analysis identified the theme of risk as a prominent message of advertisements, appealing to concerns surrounding health, desirability, freedom and pregnancy.
Show less - Date Issued
- 2014
- Identifier
- CFE0005406, ucf:50408
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005406
- Title
- I'M EVERY WOMAN: COLLEGE WOMEN'S PERCEPTIONS OF "REAL WOMEN" IN PRINT ADVERTISEMENTS.
- Creator
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Gualtieri, Marie, Carter, Dr. Shannon, University of Central Florida
- Abstract / Description
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In the American capitalist society, the media is often an agent used to perpetuate ideals and to inform consumers of products that they can purchase by using multiple advertising techniques. In an attempt to counter the thin body ideal for women, some companies have begun advertising their products by using plus size models, such as the Dove Campaign for Real Beauty. The purpose of this research is to examine college women's perceptions of the Dove Campaign for Real Beauty, an advertising...
Show moreIn the American capitalist society, the media is often an agent used to perpetuate ideals and to inform consumers of products that they can purchase by using multiple advertising techniques. In an attempt to counter the thin body ideal for women, some companies have begun advertising their products by using plus size models, such as the Dove Campaign for Real Beauty. The purpose of this research is to examine college women's perceptions of the Dove Campaign for Real Beauty, an advertising campaign whose goal is to reverse the stereotypical body ideal for women and broaden the definition of beauty. Some sociologists have criticized Dove for sending conflicting messages. This study is the first that focuses on women's perceptions about this potential conflict. Through the use of both quantitative and qualitative methods, this study examined if, how, and when women changed their initial perceptions toward the Dove Campaign for Real Beauty based on two separate scenarios brought to their attention. This is important because the findings suggest how consumers can change their perceptions regarding a company, in this case one that is a part of a multi-million dollar parent company, based on how a company advertises its products.
Show less - Date Issued
- 2012
- Identifier
- CFH0004144, ucf:44822
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFH0004144
- Title
- Identifying Influential Agents in Social Systems.
- Creator
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Maghami, Mahsa, Sukthankar, Gita, Turgut, Damla, Wu, Annie, Boloni, Ladislau, Garibay, Ivan, University of Central Florida
- Abstract / Description
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This dissertation addresses the problem of influence maximization in social networks. Influence maximization is applicable to many types of real-world problems, including modeling contagion, technology adoption, and viral marketing. Here we examine an advertisement domain in which the overarching goal is to find the influential nodes in a social network, based on the network structure and the interactions, as targets of advertisement. The assumption is that advertisement budget limits prevent...
Show moreThis dissertation addresses the problem of influence maximization in social networks. Influence maximization is applicable to many types of real-world problems, including modeling contagion, technology adoption, and viral marketing. Here we examine an advertisement domain in which the overarching goal is to find the influential nodes in a social network, based on the network structure and the interactions, as targets of advertisement. The assumption is that advertisement budget limits prevent us from sending the advertisement to everybody in the network. Therefore, a wise selection of the people can be beneficial in increasing the product adoption. To model these social systems, agent-based modeling, a powerful tool for the study of phenomena that are difficult to observe within the confines of the laboratory, is used.To analyze marketing scenarios, this dissertation proposes a new method for propagating information through a social system and demonstrates how it can be used to develop a product advertisement strategy in a simulated market. We consider the desire of agents toward purchasing an item as a random variable and solve the influence maximization problem in steady state using an optimization method to assign the advertisement of available products to appropriate messenger agents. Our market simulation 1) accounts for the effects of group membership on agent attitudes 2) has a network structure that is similar to realistic human systems 3) models inter-product preference correlations that can be learned from market data. The results on synthetic data show that this method is significantly better than network analysis methods based on centrality measures.The optimized influence maximization (OIM) described above, has some limitations. For instance, it relies on a global estimation of the interaction among agents in the network, rendering it incapable of handling large networks. Although OIM is capable of finding the influential nodes in the social network in an optimized way and targeting them for advertising, in large networks, performing the matrix operations required to find the optimized solution is intractable.To overcome this limitation, we then propose a hierarchical influence maximization (HIM) algorithm for scaling influence maximization to larger networks. In the hierarchical method the network is partitioned into multiple smaller networks that can be solved exactly with optimization techniques, assuming a generalized IC model, to identify a candidate set of seed nodes. The candidate nodes are used to create a distance-preserving abstract version of the network that maintains an aggregate influence model between partitions. The budget limitation for the advertising dictates the algorithm's stopping point. On synthetic datasets, we show that our method comes close to the optimal node selection, at substantially lower runtime costs.We present results from applying the HIM algorithm to real-world datasets collected from social media sites with large numbers of users (Epinions, SlashDot, and WikiVote) and compare it with two benchmarks, PMIA and DegreeDiscount, to examine the scalability and performance.Our experimental results reveal that HIM scales to larger networks but is outperformed by degree-based algorithms in highly-connected networks. However, HIM performs well in modular networks where the communities are clearly separable with small number of cross-community edges. This finding suggests that for practical applications it is useful to account for network properties when selecting an influence maximization method.
Show less - Date Issued
- 2014
- Identifier
- CFE0005205, ucf:50647
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0005205
- Title
- INTERNET ADVERTISING: ARE WE BREAKING GROUND OR MOVING DIRT?.
- Creator
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Marshall, Jaime, Collins, Steven, University of Central Florida
- Abstract / Description
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Seeking to validate the Elaboration Likelihood Model (ELM) of Persuasion for the online advertising context, a laboratory experiment utilizing 240 undergraduates was conducted at a southeastern university. The quality of banner advertisement contents--product endorser (spokesperson) and arguments (headlines)--were manipulated testing the variables' effect on click-through and attitude toward the advertisement for groups with high and low levels of product category involvement. Exploring a...
Show moreSeeking to validate the Elaboration Likelihood Model (ELM) of Persuasion for the online advertising context, a laboratory experiment utilizing 240 undergraduates was conducted at a southeastern university. The quality of banner advertisement contents--product endorser (spokesperson) and arguments (headlines)--were manipulated testing the variables' effect on click-through and attitude toward the advertisement for groups with high and low levels of product category involvement. Exploring a replica of a popular music website, participants were exposed to the test banners on the site's homepage. Due to the limited number of click-throughs, the relationship between the independent variables and click-through could not be established. However, as hypothesized for the low involvement condition, source liking predicted participants' attitude toward the banner advertisements. In the high involvement condition, neither source liking nor argument strength was associated with attitude. Because the test product category--sport drinks--skewed low involvement, a follow-up study should select a high involvement product category to explore such condition more effectively.
Show less - Date Issued
- 2005
- Identifier
- CFE0000406, ucf:46348
- Format
- Document (PDF)
- PURL
- http://purl.flvc.org/ucf/fd/CFE0000406