Brandon Knight | Arts and Humanities | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Brandon Knight
Affiliation William Carey University
Country United States
Documents 20
Citations 87
h-index 4
Subject Area Arts and Humanities
Event International Research Excellence and Best Paper Awards
ORCID 0000-0001-5322-9472

Brandon Knight

Brandon Knight of William Carey University, United States is recognized with the Best Paper Award for research in the field of Arts and Humanities. His recognized paper, ““Doing the Work” Through Mockumentary: A Rhetoric of Irony in Daily Wire’s Am I Racist?”, examines the rhetorical use of mockumentary conventions and irony in the 2024 film Am I Racist?. The article was published in Religions in 2025 and identifies mockumentary, Bakhtinian dialogic analysis, and rhetorical irony as central elements of its approach [1].

Abstract

This article recognizes Brandon Knight with the Best Paper Award for research in Arts and Humanities. His recognized paper, ““Doing the Work” Through Mockumentary: A Rhetoric of Irony in Daily Wire’s Am I Racist?”, analyzes the rhetorical strategies used in the mockumentary format of Am I Racist?. According to the published article, the study uses a Bakhtinian analysis of dialogic opposition to examine the film’s use of ironic characters, rhetorical enactments, juxtaposition, and documentary-style performance [1].

Keywords

Best Paper Award, Brandon Knight, Arts and Humanities, Mockumentary, Rhetoric of Irony, Am I Racist?, Daily Wire, Rhetorical Analysis, Media Studies, Film Studies, Communication Studies, Cultural Analysis, Documentary Form, Bakhtinian Analysis, Dialogic Opposition, Irony, Contemporary Media.

Introduction

The recognized research examines the relationship between mockumentary form and rhetorical irony in the contemporary film Am I Racist?. Published research identifies the film as a documentary-style production that uses irony and performance as central elements of its rhetorical presentation [1].

Research Profile

Brandon Knight is affiliated with William Carey University in the United States. Public academic profiles identify him with the university’s communication-related academic activities and describe his research interests as including political satire, mockumentaries, and contemporary media [3].

Research Contributions

The recognized paper contributes to scholarship on mockumentary rhetoric by examining how irony can operate as a rhetorical strategy within documentary-style media. The study applies a Bakhtinian framework involving dialogic opposition and examines the ways the film’s characters and performances contribute to its rhetorical structure [1].

Publications

The article is listed by the journal as belonging to the section concerning Religions and Humanities/Philosophies [1].

Research Impact

The supplied academic information records 20 documents, 87 citations, and an h-index of 4. These indicators provide a quantitative snapshot of the researcher’s scholarly record as supplied for this award profile.

Award Suitability

The Best Paper Award recognition is associated with the research contribution represented by Knight’s paper in the field of Arts and Humanities. The study presents a defined analytical framework for examining mockumentary, irony, rhetoric, and contemporary media.

Conclusion

Brandon Knight of William Carey University, United States is recognized with the Best Paper Award for research in Arts and Humanities. His recognized paper, ““Doing the Work” Through Mockumentary: A Rhetoric of Irony in Daily Wire’s Am I Racist?”, provides a rhetorical and humanities-based examination of mockumentary form, irony, dialogic opposition, and contemporary media [1].

External Links

Reference

  1. Knight, G. B. (2025). “Doing the Work” Through Mockumentary: A Rhetoric of Irony in Daily Wire’s Am I Racist? Religions, 16(10), 1321.
    https://doi.org/10.3390/rel16101321
  2. Brandon Knight – ORCID Profile. ORCID identifier 0000-0001-5322-9472.
    https://orcid.org/0000-0001-5322-9472
  3. Brandon Knight – Academic Profile. Academic profile identifying Knight’s affiliation with William Carey University and research interests in communication, rhetoric, political satire, and mockumentaries.
    https://independent.academia.edu/BrandonKnight14
  4. Best Paper Awards. Best Paper Awards website and award information.
    https://bestpaperawards.com/

Maureen Chineta Okoye | Arts and Humanities | Research Excellence Award

Published on by Best Paper Awards

Research Excellence Award

Maureen Chineta Okoye
Southwest University, China

Maureen Chineta Okoye
Affiliation Southwest University
Country China
Scopus ID 60224989600
Documents 2
Citations 1
h-index 1
Subject Area Arts and Humanities
Event International Research Excellence and Best Paper Awards
ORCID 0000-0002-3303-2514

Maureen Chineta Okoye is a researcher affiliated with Southwest University, China, whose scholarly profile is associated with the Arts subject area. Her research record includes two indexed documents, one citation, and an h-index of 1, according to the supplied Scopus profile information. [1]

Abstract

Maureen Chineta Okoye is an academic researcher affiliated with Southwest University in China and associated with the Arts subject area. Her documented Scopus profile records two research documents, one citation, and an h-index of 1. [1] These indicators provide a concise bibliometric representation of her indexed scholarly activity and citation visibility. The Research Excellence Award profile presents this information in an academic recognition context, emphasizing research documentation, scholarly affiliation, and publicly identifiable researcher information. Her ORCID identifier provides an additional persistent mechanism for distinguishing her scholarly identity and connecting relevant research outputs across academic systems. [2]

Keywords

Maureen Chineta Okoye; Research Excellence Award; Southwest University; Arts; academic research; scholarly communication; bibliometrics; Scopus; ORCID; research recognition.

Introduction

Academic recognition commonly considers documented research activity, scholarly contributions, publication records, and evidence of research visibility. Bibliographic databases such as Scopus provide structured information that can support the description of researchers and their indexed outputs. [1]

The Research Excellence Award profile for Maureen Chineta Okoye records her institutional affiliation, disciplinary area, bibliometric indicators, and persistent researcher identifier. These details provide a concise scholarly reference while distinguishing documented profile information from broader interpretations of research significance.

Research Profile

Maureen Chineta Okoye is affiliated with Southwest University in China and is identified within the Arts subject area. Her supplied Scopus author information lists Scopus Author ID 60224989600, two documents, one citation, and an h-index of 1. [1]

Her ORCID record is associated with the identifier 0000-0002-3303-2514. ORCID identifiers are designed to provide persistent distinctions between researchers and facilitate reliable connections among researchers, affiliations, and scholarly outputs. [2]

Research Contributions

The available profile information indicates an emerging indexed research record in the Arts discipline. Two documents provide the currently documented publication base, while one recorded citation indicates that at least one indexed work has received citation recognition within the database. [1]

Research contributions should be interpreted through the underlying publications, research questions, methods, venues, and disciplinary context rather than through bibliometric indicators alone. The available profile therefore serves as a concise record of indexed activity rather than a comprehensive assessment of scholarly quality.

Publications

The supplied Scopus profile records two indexed documents for Maureen Chineta Okoye. [1] Specific publication titles, journals, publication years, and DOI information were not provided in the supplied researcher data, so no individual publication details are attributed here without verification.

Research Impact

The supplied bibliometric record reports one citation for two indexed documents, demonstrating measurable citation activity within the referenced Scopus profile. [1] Such indicators can assist with documenting scholarly visibility but should be considered alongside qualitative evidence and disciplinary norms.

An h-index of 1 indicates that at least one indexed publication has received at least one citation under the profile’s reported data. [1] Citation indicators may change over time as databases are updated and additional publications or citations are indexed.

Award Suitability

The Research Excellence Award profile documents Maureen Chineta Okoye’s institutional affiliation, Arts subject area, indexed research activity, and persistent researcher identifier. These details provide identifiable academic information that can be presented as part of an award-recognition record. [1]

Award suitability should ultimately be determined according to the applicable award rules, nomination materials, research outputs, and review procedures. The bibliometric information presented on this page is descriptive and should not be interpreted as an independent determination of research quality or award eligibility.

Conclusion

Maureen Chineta Okoye’s academic profile identifies an affiliation with Southwest University, China, and a research association with the Arts subject area. The supplied Scopus information records two documents, one citation, and an h-index of 1. [1]

Together with the ORCID identifier, these records provide a structured foundation for presenting her academic identity and documented research activity. [2] Future updates to indexed publications and citation records may expand the available research profile.

References

  1. Elsevier. (n.d.). Scopus author details: Maureen Chineta Okoye, Author ID 60224989600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60224989600
  2. ORCID. (n.d.). Maureen Chineta Okoye: ORCID record 0000-0002-3303-2514. ORCID.
    https://orcid.org/0000-0002-3303-2514
  3. Okoye, M. C., Xu, H., & David, A. M. (2025). Comparative analysis of technical and vocational education and training systems in China and Sub-Saharan Africa for sustainable development. Discover Education
    . https://doi.org/10.1007/s44217-025-00965-x
  4. Mante, D. A., Opoku, O. G., Adamu, A., Chineta, O. M., Parker, D., & XueFu, X. (2025). Professional development of high-school teachers in Ghana: Exploring the effectiveness of the cascading model. PRACTICE.
    https://doi.org/10.1080/25783858.2025.2473337
  5. Namanyane, T., Chineta, O., & Zemuy, M. (2025). International students’ experiences of assessment practices in Chinese higher education: A case-study. Social Sciences, 14(3), Article 13.
    https://doi.org/10.11648/j.ss.20251403.13

BULING XIA | Arts and Humanities | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

Sustainable Use Intention of Text-to-Image Generative AI in Higher Education: An S–O–R Model with Parallel Trust and Risk Pathways

BULING XIA
Affiliation Hanyang University
Country China
Documents 1
Citations 2
Subject Area Arts and Humanities
Award Category Best Paper Award
Event
Best Paper Awards
ORCID
0009-0001-3018-0837

The Best Paper Award recognizes the outstanding scholarly contribution of
BULING XIA from Hanyang University, China.
The award honors innovative research in Arts and Humanities through the study
“Sustainable Use Intention of Text-to-Image Generative AI in Higher Education: An S–O–R Model with Parallel Trust and Risk Pathways.”
The research provides important insights into artificial intelligence adoption, trust formation, perceived risks, and sustainable technology usage within higher education environments.

Abstract

The Best Paper Award recognizes BULING XIA for outstanding academic contributions through the research titled “Sustainable Use Intention of Text-to-Image Generative AI in Higher Education: An S–O–R Model with Parallel Trust and Risk Pathways.The study investigates factors influencing the sustainable adoption of text-to-image generative artificial intelligence in higher education. By applying the Stimulus–Organism–Response framework, the research examines the influence of trust and perceived risk on users’ intentions toward AI technologies. The findings provide valuable theoretical and practical insights for responsible AI integration, digital transformation, and interdisciplinary research within Arts and Humanities.

Keywords

Arts and Humanities; Generative Artificial Intelligence; Text-to-Image AI; Higher Education; Sustainable Use Intention; S–O–R Model; Trust; Perceived Risk; Educational Technology; Artificial Intelligence Adoption.

Introduction

Artificial intelligence technologies are transforming educational environments by introducing innovative approaches to teaching, learning, and knowledge creation. Understanding user acceptance and sustainable usage of AI tools has become increasingly important. BULING XIA’s research contributes to this field by examining how trust and perceived risks influence the adoption of text-to-image generative AI in higher education.

Research Profile

BULING XIA is affiliated with Hanyang University, China. The researcher focuses on emerging areas including generative artificial intelligence, educational technology, technology acceptance, and digital innovation. With published research contributions and citation impact, the work demonstrates growing influence in interdisciplinary studies connecting technology, education, and Arts and Humanities perspectives.

Scientific Background

The rapid development of generative artificial intelligence has created new opportunities and challenges in higher education. Research on AI adoption requires understanding technological benefits, psychological factors, trust mechanisms, and potential risks. BULING XIA’s research provides a scientific foundation for exploring sustainable interaction between users and AI-powered educational technologies.

Methodology

The research applies the Stimulus–Organism–Response (S–O–R) model to analyze sustainable use intentions toward text-to-image generative AI. The study examines parallel pathways involving trust and perceived risk, providing a structured framework for understanding behavioral responses and decision-making processes related to AI adoption in higher education.

Key Findings

The study demonstrates that trust and perceived risk play important roles in shaping users’ intentions to adopt text-to-image generative AI technologies. The findings highlight the importance of developing reliable, transparent, and user-centered AI systems that encourage sustainable technology utilization within educational environments.

Scientific Contributions

BULING XIA’s research contributes to artificial intelligence and educational technology studies by integrating behavioral theory with practical technology adoption challenges. The work strengthens understanding of sustainable AI implementation through interdisciplinary approaches combining information technology, education research, and human behavioral perspectives.

Conclusion

The Best Paper Award celebrates BULING XIA’s contribution to advancing research on sustainable text-to-image generative AI adoption in higher education. The study demonstrates academic excellence, innovative methodology, and interdisciplinary significance by addressing important factors that influence responsible artificial intelligence usage and future educational technology development.

References

  1. ORCID Profile.
    https://orcid.org/0009-0001-3018-0837
  2. Best Paper Awards.
    https://bestpaperawards.com/
  3. Hanyang University.
    https://www.hanyang.ac.kr/

Sofia Stamou | Arts and Humanities | Best Paper Award

Published on by Best Paper Awards

Best Paper Award

TalkCorfiota: Conceptual Design of an AR and AI-Based Language Tourism Framework for the Promotion of the Corfiot Dialect

Sofia Stamou
Affiliation Ionian University
Country Greece
Documents 51
Citations 259
H-index 8
Subject Area Arts and Humanities
Award Category Best Paper Award
Event Best Paper Awards
Scopus 56251689700

The Best Paper Award recognizes the outstanding scholarly contributions of Sofia Stamou from Ionian University, Greece. With an established research profile in Arts and Humanities, Sofia Stamou has made significant contributions through interdisciplinary research and academic publications. The award acknowledges excellence in research quality, scholarly impact, and continued advancement of knowledge within the humanities and related disciplines.

Abstract

The Best Paper Award honors Sofia Stamou for outstanding academic achievements and contributions to Arts and Humanities research. Her publications demonstrate high scholarly standards, interdisciplinary perspectives, and meaningful impact on contemporary humanities research. Through extensive academic output and citations, her work continues to influence researchers and students across multiple disciplines.

Keywords

Arts and Humanities; Academic Research; Scholarly Excellence; Interdisciplinary Studies; Cultural Studies; Humanities Research; Best Paper Award; Scientific Impact.

Introduction

Academic excellence within Arts and Humanities contributes significantly to the understanding of culture, society, history, language, and human expression. The Best Paper Award recognizes researchers whose work demonstrates originality, innovation, and lasting academic value. Sofia Stamou’s scholarly achievements exemplify these qualities through impactful publications and interdisciplinary research.

Research Profile

Sofia Stamou is affiliated with Ionian University, Greece, an institution recognized for excellence in education, cultural studies, and humanities research. According to her Scopus profile, she has published 51 documents, received 259 citations, and maintains an H-index of 8, reflecting the influence and consistency of her academic contributions.

Scientific Background

Research in Arts and Humanities plays a vital role in preserving cultural heritage, advancing theoretical understanding, and encouraging interdisciplinary collaboration. Sofia Stamou’s work contributes to this evolving landscape by producing high-quality scholarly research that supports academic development and international collaboration.

Methodology

The recognition is based on established indicators of academic excellence, including publication quality, citation impact, research productivity, scholarly influence, and contribution to the advancement of Arts and Humanities. These measures collectively reflect the significance and reach of the recipient’s research accomplishments.

Research Impact

With an impressive publication record and strong citation performance, Sofia Stamou has established a respected academic presence within the Arts and Humanities community. Her research continues to inspire future investigations while contributing valuable knowledge to both national and international scholarly audiences.

Scientific Contributions

Sofia Stamou’s scholarly work advances humanities research through interdisciplinary approaches, academic collaboration, and innovative perspectives. Her contributions strengthen research excellence while supporting the continuous development of knowledge across Arts and Humanities disciplines.

Conclusion

The Best Paper Award celebrates Sofia Stamou’s outstanding academic achievements and lasting contributions to Arts and Humanities research. Her strong publication record, citation impact, and commitment to scholarly excellence demonstrate a significant contribution to international research and academic advancement.

References

  1. Scopus Author Profile.
    https://www.scopus.com/authid/detail.uri?authorId=56251689700
  2. Best Paper Awards.
    https://bestpaperawards.com/

  3. BalkaNet: Aims, Methods, Results and Perspectives — A General Overview.
    https://www.researchgate.net/publication/230585378_BalkaNet_Aims_Methods_Results_and_Perspectives_–_A_General_Overview

  4. Search personalization through query and page topical analysis.
    https://link.springer.com/article/10.1007/s11257-008-9056-y

  5. An adaptive and personalized open source e-learning platform.
    https://www.researchgate.net/publication/251713075_An_adaptive_and_personalized_open_source_e-learning_platform