Political Communication on the Internet
| Title | Ανάλυση Πολιτικής Επικοινωνίας στο Διαδίκτυο / Political Communication on the Internet |
| Code | ΚΕ0Ε61 |
| Faculty | Social and Economic Sciences |
| School | Political Sciences |
| Cycle / Level | 1st / Undergraduate |
| Teaching Period | Spring |
| Coordinator | Ioannis Andreadis |
| Common | Yes |
| Status | Active |
| Course ID | 600020586 |
Programme of Study: PPS Tmīma Politikṓn Epistīmṓn 2023-sīmera
Registered students: 2
| Orientation | Attendance Type | Semester | Year | ECTS |
|---|---|---|---|---|
| KORMOS | Elective Courses | Spring | - | 4 |
| Academic Year | 2024 – 2025 |
| Class Period | Spring |
| Faculty Instructors |
|
| Weekly Hours | 3 |
| Total Hours | 39 |
| Class ID | 600255696
|
Class Schedule
| Building | Journalism & Political Scienses (12 Vas. Irakliou str.) |
| Floor | Floor 2 |
| Hall | Γεώργιος Πάσχος (1040) |
| Calendar | Tuesday 15:00 to 18:00 |
Course Type 2021
Skills Development
Mode of Delivery
- Face to face
- Distance learning
Digital Course Content
- e-Study Guide https://qa.auth.gr/en/class/1/600255696
- eLearning: https://elearning.auth.gr/course/view.php?id=13715
Language of Instruction
- Greek (Instruction, Examination)
Learning Outcomes
Utilize R packages to collect political communication data - Processing the collected data – both structured and unstructured - to derive insights about the entities that generated that data and the sentiments expressed in them
General Competences
- Apply knowledge in practice
- Adapt to new situations
- Work autonomously
- Work in teams
- Work in an international context
- Work in an interdisciplinary team
- Generate new research ideas
- Design and manage projects
- Be critical and self-critical
Course Content (Syllabus)
Introduction to R - Data mining - Tidyverse - Tidy texts - Data Cleaning - Sentiment Analysis - Topic modeling
Keywords
Political Communication, Web, Social media
Educational Material Types
- Notes
- Slide presentations
- Interactive excersises
Use of Information and Communication Technologies
Use of ICT
- Use of ICT in Course Teaching
- Use of ICT in Laboratory Teaching
- Use of ICT in Communication with Students
- Use of ICT in Student Assessment
Description
Use of moodle
Course Organization
| Activities | Workload | ECTS | Individual | Teamwork | Erasmus |
|---|---|---|---|---|---|
| Lectures | 26 | 0.9 | ✓ | ||
| Laboratory Work | 16 | 0.6 | ✓ | ||
| Reading Assigment | 16 | 0.6 | ✓ | ||
| Interactive Teaching in Information Center | 26 | 0.9 | ✓ | ✓ | |
| Project | 26 | 0.9 | ✓ | ✓ | |
| Total | 110 | 4 |
Student Assessment
Description
Exercises: 40%
Project: 60%
Student Assessment methods
- Written Assignment (Formative, Summative)
- Oral Exams (Formative, Summative)
- Labortatory Assignment (Formative, Summative)
Last Update
25-01-2025
