• A
  • A
  • A
  • АБB
  • АБB
  • АБB
  • А
  • А
  • А
  • А
  • А
Обычная версия сайта
2026/2027

Направления медиааналитики

Статус: Маго-лего
Кто читает: Институт медиа
Охват аудитории: для своего кампуса
Язык: русский
Кредиты: 3
Контактные часы: 32

Программа дисциплины

Аннотация

The course aims to equip students with advanced skills in analyzing media content and its impact across various platforms. It delves into emerging trends in media analytics, including big data analysis, sentiment analysis, and predictive modeling. Students will learn to use analytical tools for measuring audience engagement, tracking media influence, and identifying key performance indicators. The curriculum emphasizes practical application of theoretical frameworks to real-world scenarios, preparing graduates for careers in research, marketing, and strategic communications within the media industry.
Цель освоения дисциплины

Цель освоения дисциплины

  • To acquaint students with the theoretical basics of media analytics
  • To overview tools for calculating and interpreting key metrics of social media analysis
  • To analyse cases of using media analytics in different areas
  • To learn principles for making reports based on collected data
Планируемые результаты обучения

Планируемые результаты обучения

  • Uses tools for social media analytics for making reports and creating dashboards
  • Assesses possible implications of data from open sources
  • Presents cases of using media analytics tools in different spheres
  • Understands possibilities and limitations of current instruments in media analytics (Big Data, AI etc.)
  • Interprets data analysis results and concludes how to use them making recommendations.
Содержание учебной дисциплины

Содержание учебной дисциплины

  • Foundations of Media Analytics: Key Concepts and Evolution of Approaches
  • Measuring Audience Engagement: Metrics and Tools
  • Media Impact Tracking: from Reach to Reputation Effects
  • Big Data in and AI Media Analytics: Ways of Application
  • Sentiment Analysis: Overview of Methods and Applications
  • Predictive Modeling in Media: from Data to Forecasts
  • Applied Media Analytics: from Data to Decisions
  • Presentations of Final Projects
Элементы контроля

Элементы контроля

  • неблокирующий Participation in seminar activities
  • неблокирующий Group project
  • неблокирующий Individual written task
  • неблокирующий Individual presentation of an article
Промежуточная аттестация

Промежуточная аттестация

  • 2026/2027 3rd module
    0.21 * Individual presentation of an article + 0.4 * Group project + 0.1 * Participation in seminar activities + 0.29 * Individual written task
Список литературы

Список литературы

Рекомендуемая основная литература

  • Social media analytics : effective tools for building, interpreting, and using metrics, Sponder, M., 2012

Рекомендуемая дополнительная литература

  • Lev Manovich. (2016). The Science of Culture? Social Computing, Digital Humanities and Cultural Analytics. Journal of Cultural Analytics. https://doi.org/10.31235/osf.io/b2y79