Digital Commons Network^™

Honesty In Marketing Communications: The Role Of Humor, Can Trinh

Atlantic Marketing Journal

Amid the crisis of trust in the marketplace, there have been increasing calls for advertisers to show more honesty in marketing communications. However, firms are still hesitant to follow suit out of concerns that more honesty may mean more losses than gains. Against such background, there is still scant empirical evidence about the effect of honest marketing communications on marketing outcomes to help provide practical guidance for marketers. The present research helps fill this crucial gap by examining the role of humor in honest marketing communications. Three studies in this research reveal novel insights that an interrelationship exists between humor …

The Impact Of “Humorous” Ads Featuring Social Media Influencers On Perceptions Of The Influencer, Brand, And Purchase Intention, Jason L. Snyder, Robert Forbus

Atlantic Marketing Journal

The present study explored the use of humor in social media ads that featured both a product being advertised and a social media influencer (SMI). Using extant literature and the theory of planned behavior as guides, the goal of the study was to explore the role of perceived humorousness on consumer perceptions of the SMI, the ad, the brand, and consumer purchase intentions. The experiment (N = 292) exposed self-identified males living in the U.S. between the ages of 18 and 40 to one of two versions of an ad for a men’s grooming product. The ads were run …

The Impact Of The Anthem Protest Movement And Covid On Nfl Viewership, George W. Stone, Michael A. Jones, Kirsten Passyn

Atlantic Marketing Journal

This research is based on 3 different surveys conducted over several NFL football seasons. The first study investigated the impact of the Anthem Protest Movement on the attitude of NFL fans. The “Anthem Protest” reemerged during the 2020 season during the “lockdown” season associated with the COVID epidemic. Co-mingled with COVID and societal unrest, many analysts were predicting irreparable harm to the NFL’s once indomitable position as America’s favorite sport resulting from this confluence of events. Given the importance of the topic in terms of future NFL fan support, this report looks back over the last several NFL seasons to …

Political Symbolism In Literature: Themes Of Colonialism, Corruption, And Greed, Ava E. Briglevich

FUSION

This Final Essay for World Literature Section 008 compares the texts “In the Penal Colony” by Franz Kafka and “Death Constant Beyond Love” by Gabriel Garcia-Marquez while analyzing themes of colonialism, corruption, and greed. Both authors are recognized for producing works rich with political and social commentary, and reading these stories allows one to gain new perspectives on these themes. In this essay, I share insight into the events that occurred during the stories' creation that contribute to the overall themes. Additionally, I connect these themes to modern events to demonstrate how the ideas put forth by Kafka and Garcia-Marquez …

Improving Belonging And Connectedness In The Cybersecurity Workforce: From College To The Profession, Mary Beth Klinger

Journal of Cybersecurity Education, Research and Practice

This article explores the results of a project aimed at supporting community college students in their academic pursuit of an Associate of Applied Science (AAS) degree in Cybersecurity through mentorship, collaboration, skill preparation, and other activities and touch points to increase students’ sense of belonging and connectedness in the cybersecurity profession. The goal of the project was focused on developing diverse, educated, and skilled cybersecurity personnel for employment within local industry and government to help curtail the current regional cybersecurity workforce gap that is emblematic of the lack of qualified cybersecurity personnel that presently exists nationwide. Emphasis throughout the project …

Sela News & News From The States

The Southeastern Librarian

News from participating Southeastern states.

Sela Officers And Executive Committee, Sela State Representatives

The Southeastern Librarian

Current SELA officers and representatives.

Vaulting Ambition: Fdr’S Campaign To Pack The Supreme Court, David W. Young

The Southeastern Librarian

Michael Nelson Lawrence: University Press of Kan-sas, 2023 ISBN: 9780700634125 124 p. $24.95 (Pbk)

Skimpy Coverage: Sports Illustrated And The Shaping Of The Female Athlete, Loren Mixon

The Southeastern Librarian

Bonnie M. Hagerman Charlottesville: University of Virginia Press, 2023 ISBN: 9780813949239 338 p. $34.50 (Pbk)

The Ncaa And The Exploitation Of College Profit-Athletes: An Amateurism That Never Was, Ariana Baker

The Southeastern Librarian

Richard M. Southall, Mark S. Nagel, Ellen J. Staurowsky, Richard T. Karcher, & Joel G. Maxcy Columbia: University of South Carolina Press, 2023 ISBN: 9781643363776 354 p. $104.99 (Hbk)

Drifting Into Darkness: Murder, Suicide, And A Death “Under Suspicious Circumstances”, Layla Farrar

The Southeastern Librarian

Mark I. Pinksy Montgomery: NewSouth Books, 2022 ISBN: 9781588384577 380 p. $23.95 (Pbk)

Government Documents For All: Ps Or Preventive Maintenance Monthly, Tim Dodge

The Southeastern Librarian

No abstract provided.

Community Across Time: Robert Morgan’S Words For Home, Alison Faix

The Southeastern Librarian

Rebecca Godwin Morgantown: West Virginia University Press, 2023 ISBN: 9781952271823 193 p. $26.99 (Pbk)

The President’S Column, Crystal Gates

The Southeastern Librarian

No abstract provided.

Student Perceptions Of The Efficacy Of A Required Information Literacy Test In The First Academic Year, Howard S. Carrier, David Vess, Kathy Clarke

The Southeastern Librarian

This paper reports on how one university attempts to instruct all incoming students on information literacy fundamentals using an asynchronous test supported by a suite of related materials. The paper explores how students interpret the efficacy of this model as they move further along in their academic career. Using a mixed-methods approach, with the majority of data being obtained through focus groups, the researchers (librarians employed in the library through which the test is developed), reflect on the advantages and disadvantages to this model, and suggest improvements to further ensure student engagement with this type of information literacy instruction and …

Southeastern Librarian 71(4) Winter 2024 (Full Issue)

The Southeastern Librarian

Complete issue of The Southeastern Librarian Volume 71 Number 4

Schooling The Movement: The Activism Of Southern Black Educators From Reconstruction Through The Civil Rights Era, Tim Dodge

The Southeastern Librarian

Derrick P. Aldrdge, Jon N. Hale, and Tondra L. Loder-Jackson, Eds. Columbia: University of South Carolina Press, 2023 ISBN: 9781643363745 304 p. $104.99 (Hbk)

Past President Interview: Melissa Dennis

The Southeastern Librarian

No abstract provided.

Academic Librarianship Reflection: Promoting Intellectual Freedom, Rebecca Rose

The Southeastern Librarian

No abstract provided.

Global Issues, Rebecca Lefebvre, Megan Hauser

KSU Distinguished Course Repository

POLS 2401 Global Issues is an introductory survey course designed to introduce the students to numerous current issues confronting the globe's policy-makers and populations. The course provides an opportunity for diversity in the students' educational program and presents information that fosters global understanding and engagement. This course has several key objectives. By the end of the course students should be able to identify and describe some major political, economic, social, and environmental issues confronting the global community and discuss the underlying reasons for a lack of resolution to major threats to peace and stability in the world.

POLS 2401 is …

Toward Energy-Efficient Deep Neural Networks For Forest Fire Detection In An Image, Yali Wang, Chuulabat Purev, Hunter Barndt, Henry Toal, Jason Kim, Luke Underwood, Luis Avalo, Arghya Kusum Das

The Geographical Bulletin

Forest fires cause huge losses and are a serious problem facing many countries worldwide, including the USA, Canada, Brazil, Siberia, and Indonesia, to name a few. Automatic identification of forest fires in an image is thus an important field to research in order to minimize disasters while also helping in mitigation planning and designing rescue tactics. Artificial Intelligence technologies, especially deep neural networks, have emerged recently with promises to detect fires with better accuracy from an image. However, the massive energy consumption of deep neural networks thwarts their widespread adoption, especially when it comes to onsite detection of fire utilizing …

Gis-Based Spatial And Temporal Analyses Of Motor Vehicle Crashes In The Atlanta Metropolitan Region 2017-2021, Heyward Stober, Jeong C. Seong

The Geographical Bulletin

Motor vehicle crash analysis is among the most insightful metrics for public safety officials, researchers, and drivers. In this article, geographical information systems (GIS) tools were used to study the spatial and temporal trends of traffic crashes and fatal crashes. The methodology involves collecting spatial crash data over time and using computer-based analysis to overlay the road data against various spatial and temporal parameters in the Atlanta metropolitan region. Results show major crash hotspots in the region, such as the cites of Marietta, Kennesaw, and College Park. Hotspots tend to form on interstate highways, while smaller state highways have fewer …

Recovery Of Microtopography Following Prairie Restoration: Implications For Biodiversity Monitoring, Karli Cich, Scott Powell

The Geographical Bulletin

Tallgrass prairies are often restored from agricultural fields where the natural microtopography has long since been removed. Therefore, our study investigates the degree to which restored prairies recover microtopography. Differences in microtopography were measured using precise elevation data collected from LiDAR to compare differences in microtopography between crop fields, fallow fields, newer restored prairies, and older restored prairies. We also compared plant biodiversity indices between newer and older restored prairies using nested plot vegetation sampling. Our first research question is how microtopography differs between the sites. Our results show that older restored prairies had the most microtopographic variation, followed by …

Modeling The Impact Of Ocean Temperature Increases On The Distribution Of Seagrasses Around The Korean Peninsula Using A Machine Learning Technique, Jina Jang, Seohyeon Kim, Jeong Seong

The Geographical Bulletin

Seagrasses are important resources which form a vital part of the ocean ecosystem. They are also considered blue carbon because of their capability of sequestrating carbon. Seagrass distribution can be affected by many factors including ocean temperature. It is highly likely that recent climate change may increase ocean temperature significantly in East Asia and consequently alter seagrass distribution patterns. This study aims at predicting the impact of ocean temperature increases on seagrass habitats around the Korean Peninsula. Using the Maximum Entropy (MaxEnt) Model, seagrass habitat distributions were modeled when sea temperature rises by 1°C, 2°C, 3°C, and 4°C. Results show …

Predicting Cloud Fraction With Instantaneous Direct And Diffuse Shortwave Solar Irradiance, Jamison Lerma, Emily K. Blackaby, Maosi Chen, Sasha Madronich, Wei Gao

The Geographical Bulletin

The purpose of this study is to compare the different performances of three commonly used models (i.e., linear regression, random forest regression, and deep neural network (DNN)) to predict cloud fraction (CF) using ground-based shortwave solar radiation measurements and analyze the importance of the input features. The CF data are obtained from the Surface Radiation Budget (SURFRAD) and the Atmospheric Radiation Measurement (ARM) and the irradiance data from the USDA UV-B Monitoring and Research Program. The study finds that CF of opaque and total clouds can be best predicted using both Random Forest Regression and DNN with the validation R2 …

Prediction Of Traffic Congestion Using A Time-Series Model And Spatiotemporal Data: A Case Study Of The Atlanta Downtown Connector, Yunsik Kim

The Geographical Bulletin

Traffic congestion poses significant socio-economic challenges, and many urban commuters experience time and cost burdens due to traffic jams. Effectively managing and predicting traffic congestion is crucial for contemporary urban planning and operations. This study aims to predict congestion using time-series deep learning models, focusing on a chronically congested road section. The research area is the Atlanta Downtown Connector, a heavily trafficked route passing through the heart of the city of Atlanta. To address issues often associated with sensor and GPS-based data collection, traffic data was obtained from an open-source online map service, Google Maps. A multivariate time-lagged LSTM model …

A Remote Sensing Investigation Of The 2022 Invasion Of Eastern Ukraine On Agricultural Landcover, Michael S. Agbozo, Luke J. Marzen, Chandana Mitra

The Geographical Bulletin

Ukraine-Russian political relations over the years have alternatively experienced periods of tranquility and turmoil with violent conflicts since 1917, including the events of the 2014 annexation of Crimea and the 2022 Russian invasion of the entirety of Ukraine. These conflicts remain developmental threats and their assessment requires multi-perspective analysis. Understanding the spatial dimensions of such conflicts and their consequences on physical and social spaces at varying scales could provide credible scientific impetuses on which targeted post-conflict remediations could be built. This preliminary study therefore takes advantage of the capabilities of satellite remote sensing, to provide quick and effective spatiotemporal analysis …

Open-Source Based Change Pattern Analysis Of Urban Green Spaces Using Landscape Metrics, Mohammad Anwar Alattar

The Geographical Bulletin

A growing number of studies have been conducted on urban green spaces (UGSs), given their essential role in mitigating urbanization externalities. The current available methods for acquiring and analyzing UGSs data suffer from several limitations. For example, free satellite imagery exhibits pixel distortion and fails to account for fine-grained structure such as accurate geometry or size. Moreover, official UGSs datasets are typically updated periodically, not continuously. This work provides a Python-derived open-source based analysis for acquiring, modeling and analyzing UGSs change patterns using landscape metrics. To demonstrate the feasibility of the proposed approach, it is applied on the New York …

High-Mountain Hazards In The Indian Himalaya: An Assessment Of The Causes And Effects Of The Chamoli Flood In 2021, Christina M. Salzmann, Sarah J. Halvorson, Anna E. Klene

The Geographical Bulletin

On 7 February 2021, a devastating flood severely impacted the Ronti Gad, Rishiganga, and Dhauliganga River Valleys in the northwestern District of Chamoli, India. The flood washed away two hydropower projects and caused more than 200 fatalities. This study assessed some of the causes and effects of this catastrophic flood event and aims to provide further documentation that the event was not caused by a glacial lake outburst flood, as many reports initially indicated. Analysis of high-resolution satellite imagery, digital elevation model (DEM) differencing, and precipitation and temperature data showed that an ice-rock avalanche was released as a result of …

Evaluating The Use Of Unpiloted Aerial Systems To Detect And Monitor Beech Bark Disease In New England Forests, Isabelle Lopez, Benjamin T. Fraser, Russell G. Congalton

The Geographical Bulletin

The American beech (Fagus grandifolia) plays a key role throughout eastern North American forests. However, beech bark disease (BBD) causes widespread mortality of beech trees. We investigated whether imagery collected using an unpiloted aerial system (UAS) could differentiate beech tree health. Reference data were collected from 140 beech trees in New Hampshire and were visually classified as having “no/trace damage,” “moderate damage,” or “heavy damage.” Multispectral imagery was collected from a UAS, and 44 image features were derived for each beech crown. We used machine learning to identify the importance of each feature in distinguishing between the three health classes …