| dc.description.abstract | [""This study investigates the digital presence of the Justice and Development Party
(AKP) and the Republican People's Party (CHP) on TikTok. It aims to elucidate their
political stance and digital marketing strategies using machine learning techniques.
The research combines data acquisition and advanced analytical processes to
decipher the political narratives and strategies of each party.
Data was categorized into profiles and hashtags related to AKP, CHP, and general
discussions. Unique TikTok links streamlined the comprehensive data extraction
process, with Python-based libraries assisting in retrieving engagement metrics and
video descriptions. The choice to analyze the 'general discussion' category was
determined by the study's progression and focus.
Several approaches were applied in the Machine Learning Analysis phase. The
Isolation Forest algorithm was essential for its computational efficiency, highlighting
videos with distinct engagement patterns. Face Detection and Emotion Recognition
assessed the implicit emotions in the content, playing a crucial role in distinguishing
the content and strategy between parties. Speech Recognition transcribed spoken
elements from videos, paving the way for Topic Modeling to determine the central
themes the parties addressed.
The culmination of the analysis used the K-means algorithm. This clustering aimed
to highlight competition in content creation, offering a nuanced comparison based on
the narratives each party emphasized. It also facilitated a holistic strategy analysis,
enabling parties to gauge and respond to competing narratives.
Results show the effectiveness of machine learning in unveiling political strategies
on TikTok. Face detection, Emotion detection, topic modeling, and Clustering
analysis elucidate the tactics each party adopts to maximize interaction and spread
their ideologies. The research underscores the significance of digital platforms in
modern political discourse, offering a fresh perspective on social media's potential in
understanding political strategies""] | |
