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This is a yearlong seminar during which time the students will start from general ideas about their dissertation topic to the development of a full MA thesis. The seminars will be structured in the following way: Phase One: Each student will produce an initial draft note, which will include the proposed primary and secondary research questions, theoretical framework, the methodological framework and methods, the research design and the table of contents. These initial notes will be discussed with the course lecturers and participants, resulting in an updated full draft note.
Phase Two: This phase will consist of a series of assignments and discussions dealing with: how to write an MA thesis - core components; putting methodology in practice; putting theory in practice; doing the literature review; and research ethics. Phase Three: In this phase, the updated full draft note will be revisited and revised, on the basis of the lectures (and ongoing discussions). This phase will result in the final MA thesis proposal outlining all core elements of the MA thesis. Phase Four: The aim of the fourth phase is to support students in writing their MA thesis by providing peer feedback, in-class discussions, and guidance from the course lecturer. Moodle: https://dl2.cuni.cz/course/view.php?id=4094 Assessment Fall semester: mandatory group assignments and submission of MA thesis proposal Assessment Spring semester: mandatory individual assignments (text sample and its defense + oral and written review); mandatory personal attendance when required Last update: Turková Kateřina, Mgr. Ing., Ph.D. (08.01.2026)
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Each student has to present the MA thesis progress: Submission of a text sample (15 - 20 normative pages (NP = 1800 characters incl. spaces) of theory/methodology incl. list of literature) 6 days before the date of the presentation (seminar) - deadline every Wednesday 23:59 CET
Presentation: Allocated slots due to the schedule (available in SIS) Duration: 15-20 minutes The presentation should reflect the following (if finished): 1) Title of the thesis, including the presenter’s name, department, and date. Department or program of study. 2) Names of the thesis supervisor. 3) Statement of the problem: Aims of the study, significance of the research; research questions; brief theoretical framework. 4) Method: Provide an overview of the application of particular methods to answer research questions. 5) Results and analysis: Slides should reflect graphs, tables or charts demonstrating critical elements of the research findings or outcomes. Candidates may include their hypotheses and the corresponding results or analysis. 6) Discussion: Candidates should list and discuss salient findings and their applicability to their expertise. 7) Limitations of the study and recommendations for future study With or without PPT, you can use official template
be an opponent to the assigned text sample of the colleague (classmate): The review should be submitted in a written form 2 days before the date of the presentation (seminar) - deadline every Saturday 23:59 CET Range: 2 - 3 normative pages of text, including 2 recommendations of relevant literature that is not yet used in the text sample and attend personally at least 2 sessions of the seminar (one as a presenter, one as an opponent).
Templates: MA thesis: https://iksz.fsv.cuni.cz/en/study/ma-studies/erasmus-mundus-journalism-media-and-globalisation-emj (forms and regulations box) Review: Moodle Not fulfilling the aforementioned in the set deadline will lead to not fulfilling the course. AI use and plagiarism rules: Students may use generative AI tools, such as ChatGPT, Copilot, Gemini, Perplexity and similar, provided that the following conditions are met. Specifically, they may be used for the purposes of proofreading, translations or searching for sources. On the contrary, the prohibition of use strictly applies to the text creation, analysis or personal and sensitive data processing. Any use must be cited in the final output in accordance with academic rules. Generative AI tools will not be used to evaluate student outputs. Any violation of these rules will lead to a reduction in grade, failure to complete the course or disciplinary proceedings, depending on its severity. Only compliance with the aforementioned rules will guarantee the fulfilment of the educational objectives of the course, protect equal conditions for all students, and also ensure their privacy. The aforementioned potential sanctions also apply to any plagiarism. Plagiarism is the unacknowledged use of someone else’s work as your own, even if unintentional. It can involve copying text, paraphrasing without citing the source, undisclosed collaboration with others, or using AI. To avoid plagiarism, students must always properly cite their sources, mark quotations, and acknowledge contributions from others and AI. The responsibility always lies with the student—if you work with AI and plagiarism is found, it is considered your plagiarism. (AI is a language model that generates text for you from other texts.) To detect plagiarism, FSV UK uses Turnitin, which is automatically integrated into Moodle, and I also privately use Copyleaks. Both tools can identify plagiarism and AI-generated texts. Plagiarism and unacknowledged AI use are reported, investigated and have serious consequences as per Dean’s provision 18/2015. https://fsv.cuni.cz/en/deans-provision-no-18/2015 Last update: Turková Kateřina, Mgr. Ing., Ph.D. (08.01.2026)
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Literature on research design and dissertation writing
Literature on methodology General methods literature (including research ethics)
Digital methods literature
Literature on theory and literature review
Last update: Turková Kateřina, Mgr. Ing., Ph.D. (02.02.2025)
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Preliminary schedule (can be changed due to the circumstances): Mo 16. 2. 2026 (15:30 - 16:50, H014): Introduction, course description, schedule, specification of requirements Mo 23. 2. 2026 (15:30 - 16:50, H014): Data processing - how to store, clean (and publish) your research data Mo 2. 3. 2026 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 25. 2., review deadline 30. 2.) presentation 1: Kieran Hadley (opponent Lorea Zabaleta) presentation 2: Borbala Barath (opponent Ross Billison) Mo 9. 3. 2026 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 4. 3., review deadline 7.3.) presentation 1: Geri Kolgega (opponent Borbala Barath and Asmaa Rabhi Bellahbib) presentation 2: Treasure Oguike (opponent Kieran Hadley) Mo 16. 3. 2026 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 11. 3., review deadline 14.3.) presentation 1: Felipe Torres (opponent Salma El Ashmawy) presentation 2: Zhang Yichi (David) (opponent Laura Savoini) presentation 3: Andreea Soare (opponent Laurentiu Vlad) Mo 23. 3. 2026 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 18. 3., review deadline 21. 3.) presentation 1: Laurentiu Vlad (opponent Geri Kolgega) presentation 2: Lorea Zabaleta (opponent Zhang Yichi (David)) Mo 30. 3. 2026 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 25. 3., review deadline 28. 3.) presentation 1: Salma El Ashmawy (opponent Treasure Oguike) presentation 2: Laura Savoini (opponent Amaka Bassey) Mo 6. 4. 2026 Easter holiday, lesson won't be held Mo 13. 4. 2025 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 8. 4., review deadline 11. 4.) presentation 1: Ross Billison (opponent Andreea Soare) presentation 2: Asmaa Rabhi Bellahbib (opponent KT) Mo 20. 4. 2025 (15:30 - 16:50, H014): Self-study Mo 27. 4. 2025 (15:30 - 16:50, H014): Presentation of text samples (submission deadline 18. 4., review deadline 25. 4.) presentation 1: Amaka Bassey (opponent Felipe Torres) Mo 4. 5. 2025 (15:30 - 16:50, H014): Q and A - thesis submission essentials Mo 11. 5. 2025 (15:30 - 16:50, H014): Self-study Last update: Turková Kateřina, Mgr. Ing., Ph.D. (21.01.2026)
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