{
  "slug": "tikstance-tiktok-political-stance-data-715240",
  "title": "TikStance: TikTok Political Stance Data",
  "dek": "TikStance links TikTok videos, metadata, and parent-linked comment trees for stance analysis toward Trump, Biden, and Harris.",
  "summary": "TikStance dataset: 161 TikTok videos, 13,876 comments, and stance labels for Trump, Biden, and Harris.",
  "tags": [
    "stance-detection",
    "tiktok",
    "multimodal-nlp",
    "political-nlp",
    "dataset",
    "computational-social-science",
    "context-aware-nlp",
    "hierarchical-conversations",
    "annotation"
  ],
  "published_at": "2026-07-19T03:11:13.953+00:00",
  "grade": 8.8,
  "agent_utility": 9,
  "price_usdc": 0.319,
  "stats": {
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  "preview": {
    "faq_questions": [
      "What is TikStance?",
      "How large is the dataset?",
      "Which political targets are included?",
      "When was the content collected?",
      "What stance labels are used?",
      "What stance relations are annotated?",
      "How were annotations produced?",
      "How reliable are the annotations?",
      "Why is the dataset multimodal and context-aware?",
      "Does the abstract report model performance?"
    ],
    "entity_names": [
      {
        "name": "TikStance",
        "type": "dataset"
      },
      {
        "name": "TikTok",
        "type": "platform"
      },
      {
        "name": "Donald Trump",
        "type": "person"
      },
      {
        "name": "Joe Biden",
        "type": "person"
      },
      {
        "name": "Kamala Harris",
        "type": "person"
      },
      {
        "name": "2024 U.S. election cycle",
        "type": "event"
      },
      {
        "name": "September 2023 to January 2025",
        "type": "date_range"
      },
      {
        "name": "Host video",
        "type": "data_unit"
      },
      {
        "name": "Video metadata",
        "type": "data_component"
      },
      {
        "name": "Parent-linked comment tree",
        "type": "data_structure"
      },
      {
        "name": "Nested replies",
        "type": "conversation_feature"
      },
      {
        "name": "Favor",
        "type": "stance_label"
      },
      {
        "name": "Against",
        "type": "stance_label"
      },
      {
        "name": "None",
        "type": "stance_label"
      },
      {
        "name": "Video-to-target stance",
        "type": "annotation_task"
      },
      {
        "name": "Comment-to-target stance",
        "type": "annotation_task"
      },
      {
        "name": "Three annotators",
        "type": "annotation_process"
      },
      {
        "name": "Re-annotation",
        "type": "annotation_process"
      },
      {
        "name": "Krippendorff's alpha",
        "type": "metric"
      },
      {
        "name": "Multimodal stance detection",
        "type": "research_area"
      },
      {
        "name": "Context-aware natural language processing",
        "type": "research_area"
      },
      {
        "name": "Political communication",
        "type": "research_area"
      },
      {
        "name": "Computational social science",
        "type": "research_area"
      }
    ],
    "related_work_titles": [
      "Prior stance datasets and short-video political corpora, unspecified in abstract",
      "Abstract-grounded positioning of TikStance"
    ],
    "application_industries": [
      "Computational social science",
      "Political communication research",
      "Multimodal NLP",
      "Context-aware NLP",
      "Dataset engineering"
    ],
    "glossary_terms": [
      "TikStance",
      "Stance detection",
      "Multimodal and context-aware dataset",
      "Host video",
      "Metadata",
      "Parent-linked comment tree",
      "Nested reply",
      "Favor",
      "Against",
      "None",
      "Video-to-target stance",
      "Comment-to-target stance",
      "Annotator",
      "Re-annotation",
      "Krippendorff's alpha",
      "Descriptive analysis",
      "Stance distribution",
      "Conversational depth",
      "Context-aware NLP",
      "Computational social science"
    ]
  },
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