Recommendations of the Scientific Forum: Research Techniques in Media and Communication Sciences – Issues and Challenges in the Digital Environment
At the conclusion of the scientific forum titled “Research Techniques in Media and Communication Sciences: Issues and Challenges in the Digital Environment,” which brought together a distinguished group of professors, researchers, and graduate students to examine key issues surrounding the evolution of scientific research in media and communication studies amid rapid digital transformations, and following valuable scholarly presentations and fruitful discussions, the participants hereby issue the following set of recommendations aimed at advancing research in this field:
First: Methodological Aspects
- Emphasize the necessity of developing research methodologies that align with the specificities of the digital environment, while strengthening the integration of quantitative and qualitative approaches.
- Call for the expanded use of big data analytics techniques in media studies.
- Encourage the application of artificial intelligence in analyzing media content and discourses. Develop innovative methods for coding extensive digital hyperlink networks, and reinforce standards of validity and reliability.
- Promote the adoption of a hybrid approach based on human-AI integration: utilizing AI for preliminary analysis, followed by human intervention for in-depth interpretation of results.
Second: Tools and Technologies in Media and Communication Research
- Train researchers in the use of modern analytical software and adopt social network analysis techniques to better understand digital interaction patterns.
- Develop data mining competencies among researchers and graduate students.
Third: Ethical Aspects
- Stress strict adherence to research ethics in the digital environment, particularly regarding the protection of privacy and personal data.
- Call for the development of clear codes of conduct to regulate research activities in digital spaces.
- Strengthen research efforts aimed at combating fake news and media disinformation.
Fourth: Addressing Digital Challenges
- Develop scientific mechanisms to verify the credibility of digital data and trace their sources.
- Investigate the impact of algorithmic bias on media research findings and implement strategies to mitigate it.
- Keep pace with the rapid evolution of social media platforms and assess their implications for scientific research.
Fifth: Training and Research Development
- Integrate specialized courses on digital research methodologies into media and communication science curricula.
- Encourage interdisciplinary research that bridges media studies and data science.
- Support graduate students and steer them toward research topics related to the digital environment, while promoting specialized training in artificial intelligence for researchers.
- Establish training programs focused on digital data and its processing methods within media contexts.
Sixth: Scientific and Institutional Cooperation
- Strengthen partnerships between universities and research centers at both national and international levels.
- Advocate for the regular organization of scientific forums to keep abreast of emerging trends in digital media research.
- Establish specialized research networks dedicated to digital media and communication.
- Form collaborative research teams comprising faculty and students to develop AI application frameworks that respect and align with local cultural specificities.
