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Datasets:
webomurga
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CMPE59U_Social_Media

Tasks:
Text Classification
Languages:
Turkish
Size:
10K<n<100K
Tags:
sentiment-analysis
text-analysis
climate-change
legal
social-media
public-policy
License:
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metadata 
license: cc-by-nc-4.0
language:
  - tr
task_categories:
  - text-classification
pretty_name: >-
  Mapping Climate Policy Discourse in Turkey - A Topic Modeling Analysis of
  Parliamentary and Social Media Debates (2021-2025)
tags:
  - sentiment-analysis
  - text-analysis
  - climate-change
  - legal
  - social-media
  - public-policy
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: climatelaw_analysis
        path: all_platforms_masked.csv
      - split: waterlaw_forecast
        path: su_kanunu_masked.csv
dataset_info:
  features:
    - name: Name
      dtype: string
    - name: Profile ID
      dtype: string
    - name: Date
      dtype: string
    - name: Likes
      dtype: float64
    - name: Comment
      dtype: string
    - name: Platform
      dtype: string
    - name: Post ID
      dtype: string
    - name: Topic
      dtype: string
    - name: Original Post?
      dtype: bool
    - name: Sentiment
      dtype: string
    - name: Argument
      dtype: string

Mapping Climate Policy Discourse in Turkey - A Topic Modeling Analysis of Parliamentary and Social Media Debates (2021-2025)

Dataset Summary

This dataset contains Turkish-language social media posts related to public discourse on environmental legislation in Türkiye, specifically focusing on the Climate Law (İklim Kanunu) and the Water Law (Su Kanunu).

The dataset covers the period 2021–2025 and includes content collected from Facebook, Twitter (X), Ekşi Sözlük, and DonanımHaber Forum. It is designed to support research on public opinion, sentiment analysis, argumentation patterns, and policy-related discourse in social media.

Contextual Usage

  • Climate Law Posts: Primarily used for retrospective analysis, as the law has arguably been enacted or is in advanced stages.
  • Water Law Posts: Intended for forecasting public reactions to upcoming bill proposals.

All data was collected from publicly available content and processed for non-commercial research purposes only.

Supported Tasks

  • Sentiment Analysis: (Labels provided via savasy/bert-base-turkish-sentiment-cased)
  • Argument Classification: (Sub-topics identified via LDA)
  • Policy Discourse Analysis
  • Social Media Text Analysis (Turkish)

Dataset Structure

Each row in the dataset represents a single social media post or comment.

Data Fields

Column Name Description
Name Anonymized user name
Profile ID User identifier
Date Timestamp of the post
Likes Number of likes or reactions (if available)
Comment The actual text content of the post
Platform Source platform (Facebook, Twitter, Ekşi Sözlük, DonanımHaber Forum)
Post ID Unique identifier of the original post
Topic Keyword used for scraping (e.g., iklim_kanunu, su_kanunu)
Original Post? Boolean indicating if the entry is an original post or a reply/comment
Sentiment Sentiment label (positive/negative) predicted using savasy/bert-base-turkish-sentiment-cased
Argument Sub-topic label identified using LDA topic modeling (See table below)

Argument Labels (LDA Topics)

The Argument column represents sub-topics of discussion derived from Latent Dirichlet Allocation (LDA) topic modeling.

Argument Label Description Top Words (Examples)
Energy Policy Fossil fuels, carbon, and energy policies iklim, fosil, yakıt, karbon, enerji
Climate Crisis Crisis related to fossil fuels & politics klim, fosil, yakıt, türkiye, krizinin
Green Activism Protests and global activism fosil, yeşile, küresel, protesto
Intl Conferences COP and international summits iklim, konferansı, taraflar, birleşmiş milletler
Ministry Actions Actions by the Ministry of Environment çevre, şehircilik, bakanlığı, murat (kurum)
Urban Policy Urban transformation and TOKİ devlet, kentsel, toki, dönüşüm
Bill Proposal Parliamentary bill proposals tbmm, genel, kurulu, teklifi
Green Legislation Green Deal and adoption processes yeşil, mutabakat, kanun, kabul
Approval Process Legislative approval/acceptance kabul, tbmm, meclis, edildi
Emissions Trading ETS, carbon tax, greenhouse gas emisyon, sera, ticaret, karbon
Politics & Forests Political decisions on forestry orman, geri, çekildi, erdoğan
Enactment Official Gazette publication resmi, gazete, yürürlüğe, girdi
Policy Debates General debates on climate policy iklim, karbon, hayir, küresel
Water Mgmt Water management and irrigation sulama, gölü, suyu, yönetimi, taşkın
Agri Risks Agricultural risks (drought/rain) yağmur, tarımsal, tehdit, hasat
Weather Alerts Meteorological warnings meteoroloji, alarmı, şiddetli, acil
Drought Crisis Regional drought impacts kuraklık, su, tehlikesi, krizi
Food Security Food supply and natural disasters gıda, doğal, afet, korumak
Desertification Desertification and soil loss çölleşme, mücadele, toprak, erozyon
Forest Threats Global warming threats to forests ormanlık, yangın, tehdit
Env Awareness General environmental awareness ısınma, çevre, koruma, bilinç
Temp Rise Rising temperatures/Heatwaves sıcak, ısınma, derece, artış
Climate-Drought Climate change causing drought iklim, değişikliği, kuraklık
Fire Containment Status of forest fire control kontrol, altına, alındı, söndürme
Firefighting Active firefighting operations yangın, müdahale, havadan, uçak
Evacuations Evacuations due to disasters tahliye, zarar, can, kaybı

Data Collection and Processing

  • Time Span: 2021–2025
  • Sources: Publicly accessible posts from Facebook, Twitter (X), Ekşi Sözlük, and DonanımHaber Forum.
  • Methodology:
    • Data was scraped using topic-specific keywords (iklim_kanunu, su_kanunu).
    • Sentiment Analysis was performed automatically using the Hugging Face model savasy/bert-base-turkish-sentiment-cased.
    • Argument Sub-topics were extracted using unsupervised LDA topic modeling.
    • Anonymization: Usernames and profile identifiers have been anonymized to protect user privacy.

Ethical Considerations

This dataset contains user-generated content from social media platforms. Although the data was publicly available at the time of collection:

  • Privacy: Personal identifiers have been anonymized.
  • Usage: The dataset should not be used to identify, profile, or target individuals.
  • Scope: No private messages or restricted content were included.
  • Bias: The dataset may reflect platform-specific biases and does not necessarily represent the full population of Türkiye.
  • Language: Social media text may contain informal expressions, sarcasm, or offensive language.

Researchers are encouraged to follow platform-specific terms of service and ethical research guidelines when using this dataset.

Citation

If you use this dataset in your research, please cite it as follows:

@misc{turkish-env-social-media-2026,
  title = {Mapping Climate Policy Discourse in Turkey - A Topic Modeling Analysis of Parliamentary and Social Media Debates (2021-2025)},
  author = {Yıldırım, Cansu Mine and Buldu, Murat and Akdağ, Hüseyin Emir and Kahraman, Sena},
  year = {2026},
  publisher = {HuggingFace},
  howpublished = {\url{[https://huggingface.co/datasets/webomurga/CMPE59U_Social_Media](https://huggingface.co/datasets/webomurga/CMPE59U_Social_Media)}}
}