{
  "schemaVersion": 3,
  "id": "article:gender-and-the-attention-economy",
  "slug": "gender-and-the-attention-economy",
  "title": "Gender and the Attention Economy",
  "canonicalPath": "/articles/gender-and-the-attention-economy/",
  "sourcePath": "content/articles/2026/gender-and-the-attention-economy/article.md",
  "agentBriefPath": "content/articles/2026/gender-and-the-attention-economy/agent.md",
  "thesis": "Women in India face a double bind in the attention economy: lower access and digital skills limit participation, while those who do participate encounter disproportionate care burdens, safety risks, and economic inequality.",
  "status": "published",
  "maturity": "seed",
  "publishedAt": "2026-07-05",
  "updatedAt": "2026-07-18",
  "audiences": [
    "general",
    "students",
    "builders",
    "policy",
    "researchers"
  ],
  "topics": [
    "attention-economy",
    "india",
    "gender",
    "digital-inclusion",
    "digital-wellbeing"
  ],
  "series": {
    "slug": "attention-substance-ai-moment",
    "title": "Attention, Substance, and the AI Moment",
    "order": 20,
    "role": "chapter",
    "arc": "historical-frames"
  },
  "claims": [
    {
      "id": "claim-001",
      "claim": "Women in India face a double bind in the attention economy: lower access and digital skills limit participation, while those who do participate encounter disproportionate care burdens, safety risks, and economic inequality.",
      "confidence": "medium-high",
      "status": "core",
      "evidence": [
        {
          "sourceId": "source-nsso-cams-dataforindia",
          "snippet": "NSSO CAMS 2022-23 finds roughly eight in ten women had recently used a mobile phone versus over nine in ten men, and roughly half of women had recently used the internet versus about two-thirds of men.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-nsso-tus-2024",
          "snippet": "NSSO Time Use Survey 2024 finds women spent 289 minutes/day on unpaid domestic services and 137 minutes/day on caregiving, far above men's 88 and 75 minutes respectively.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-prs-cybercrimes-women",
          "snippet": "Parliamentary committee report summarised by PRS notes cybercrimes against women rose 239% between 2017 and 2022.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "The gap is narrowing: women now make up 47% of India's internet users, the highest share on record, and the gender gap nearly vanishes among children.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-002",
      "claim": "NSSO CAMS 2022-23 data show a sharp gender gap at the point of digital entry: roughly eight in ten women had recently used a mobile phone, compared with over nine in ten men, and roughly half of women had recently used the internet, compared with about two-thirds of men.",
      "confidence": "high",
      "status": "core",
      "evidence": [
        {
          "sourceId": "source-nsso-cams-dataforindia",
          "snippet": "About 85% of adults used a mobile phone in the last three months; about eight in ten women had used phones versus over nine in ten men. Two-thirds of men had used the internet versus half of women.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "Phone and internet use are self-reported and measured over a three-month window; some women may use devices occasionally without considering themselves users.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-003",
      "claim": "GSMA's Mobile Gender Gap Report 2024 shows that women in low- and middle-income countries are about 15% less likely than men to use mobile internet, with roughly 60% of unconnected women concentrated in South Asia and Sub-Saharan Africa; India-specific estimates show women are 33% less likely than men to use mobile internet.",
      "confidence": "medium-high",
      "status": "landscape",
      "evidence": [
        {
          "sourceId": "source-gsma-gender-gap-2024",
          "snippet": "Women in LMICs are 15% less likely than men to use mobile internet; around 60% of unconnected women live in South Asia and Sub-Saharan Africa.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        },
        {
          "sourceId": "source-ideasforindia-gender-digital-divide",
          "snippet": "Indian women are 33% less likely than men to use mobile internet, and only about 30% know how to use the internet to find information, operate mobile money, or access apps and e-services.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "The 15% figure is a global LMIC estimate, not India-specific; India's actual gap may differ. The 33% India figure comes from GSMA data cited in a policy synthesis.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-004",
      "claim": "NSSO Time Use Survey 2024 found that women who performed unpaid domestic services spent 289 minutes a day on them, compared with 88 minutes for men, and women spent 137 minutes on caregiving versus men's 75 minutes.",
      "confidence": "high",
      "status": "core",
      "evidence": [
        {
          "sourceId": "source-nsso-tus-2024",
          "snippet": "Females spent 289 minutes/day on unpaid domestic services; males spent 88 minutes. Females spent 137 minutes/day on caregiving; males spent 75 minutes.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "Figures are averages among those who performed the activity, not the whole population; they do not capture seasonal variation or differences by age, class, or region.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-005",
      "claim": "Women's leisure and mass-media time is more fragmented by unpaid care work than men's, so the attention economy extracts a scarcer, more interrupted resource from women even when raw minutes look similar.",
      "confidence": "medium",
      "status": "framing",
      "evidence": [
        {
          "sourceId": "source-nsso-tus-2024",
          "snippet": "Men spent 177 minutes/day and women 164 minutes/day on culture, leisure, and mass-media use among participants.",
          "supports": "indirect",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "The NSSO TUS does not measure fragmentation or interruption directly; this claim is an inference from the large gender gap in unpaid work and caregiving.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-006",
      "claim": "A 2026 parliamentary committee report summarised by PRS Legislative Research noted that cybercrimes against women in India rose 239% between 2017 and 2022.",
      "confidence": "high",
      "status": "landscape",
      "evidence": [
        {
          "sourceId": "source-prs-cybercrimes-women",
          "snippet": "As per National Crime Record Bureau data, between 2017 and 2022 there has been a 239% increase in cybercrimes against women.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "Reported cybercrime counts reflect both real incidence and reporting willingness, police capacity, and legal classification; actual rates are likely undercounted.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    },
    {
      "id": "claim-007",
      "claim": "The creator economy and high-skill digital work remain unevenly accessible to women: only about 2.2% of employed Indian women work in business services, partly due to the digital-skills gap.",
      "confidence": "medium",
      "status": "landscape",
      "evidence": [
        {
          "sourceId": "source-ideasforindia-gender-digital-divide",
          "snippet": "Only 2.2% of employed women in India work in business services, and women's lower digital skills and access constrain movement into high-productivity ICT services.",
          "supports": "direct",
          "assessedAt": "2026-07-05"
        }
      ],
      "counterevidence": [
        {
          "summary": "Business-services employment is shaped by education, norms, mobility, and labour demand as well as digital skills; the figure is an indicator, not proof of causation.",
          "assessedAt": "2026-07-05"
        }
      ],
      "verification": {
        "status": "verified",
        "reviewedAt": "2026-07-18",
        "reviewer": "kimi-code-cli",
        "note": "Verified 2026-07-18 (meta#61 backlog burn-down): evidence packets checked against cited sources; spot-checked live."
      }
    }
  ],
  "sources": [
    {
      "id": "source-nsso-tus-2024",
      "title": "NSSO Time Use Survey 2024 Factsheet",
      "url": "https://www.mospi.gov.in/sites/default/files/publication_reports/TUS_Factsheet_25022025.pdf",
      "type": "government-report",
      "accessed": "2026-07-05"
    },
    {
      "id": "source-nsso-cams-dataforindia",
      "title": "Data For India: Access to phones and the internet (based on NSSO CAMS 2022-23)",
      "url": "https://www.dataforindia.com/comm-tech/",
      "type": "research-report",
      "accessed": "2026-07-05"
    },
    {
      "id": "source-iamai-kantar-2024",
      "title": "IAMAI-Kantar: Internet in India Report 2024",
      "url": "https://www.iamai.in/sites/default/files/research/Kantar_%20IAMAI%20report_2024_.pdf",
      "type": "industry-report",
      "accessed": "2026-07-05"
    },
    {
      "id": "source-gsma-gender-gap-2024",
      "title": "GSMA: The Mobile Gender Gap Report 2024",
      "url": "https://www.gsma.com/gender-gap-2024/",
      "type": "industry-report",
      "accessed": "2026-07-05"
    },
    {
      "id": "source-ideasforindia-gender-digital-divide",
      "title": "Ideas for India: Digital gender divide amidst India's service-led growth",
      "url": "https://www.ideasforindia.in/topics/social-identity/digital-gender-divide-amidst-india-s-service-led-growth",
      "type": "research-report",
      "accessed": "2026-07-05"
    },
    {
      "id": "source-prs-cybercrimes-women",
      "title": "PRS Legislative Research: Cyber Crimes and Cyber Security of Women (Committee on the Empowerment of Women, 2026)",
      "url": "https://prsindia.org/policy/report-summaries/cyber-crimes-and-cyber-security-of-women",
      "type": "government-report",
      "accessed": "2026-07-05"
    }
  ],
  "related": [
    {
      "type": "article",
      "id": "article:the-attention-extraction"
    },
    {
      "type": "article",
      "id": "article:by-the-numbers-what-indians-do-online"
    },
    {
      "type": "article",
      "id": "article:the-generational-bet"
    },
    {
      "type": "article",
      "id": "article:the-substance-builder"
    },
    {
      "type": "article",
      "id": "article:designing-for-substance"
    },
    {
      "type": "article",
      "id": "article:attention-substance-ai-moment"
    },
    {
      "type": "topic",
      "id": "topic:attention-economy"
    },
    {
      "type": "topic",
      "id": "topic:india"
    },
    {
      "type": "topic",
      "id": "topic:gender"
    }
  ],
  "agentInstructions": [
    "Use claim IDs as the retrieval unit and treat each claim as separate from solution chapters.",
    "Preserve the evidence-cautious, non-preachy tone; do not shame individuals or imply all screen time is harmful.",
    "When citing sources, use the source IDs and URLs from the artifact; do not invent or generalise beyond the public evidence.",
    "Flag any India figure that is a global benchmark or regional estimate so readers do not mistake it for a national measurement.",
    "Point users to the Diagnosis and Designing for Substance chapters for platform-incentive and intervention context."
  ],
  "provenance": {
    "createdAt": "2026-07-05",
    "createdBy": "human",
    "agents": [],
    "reviews": [
      {
        "reviewer": "human",
        "reviewedAt": "2026-07-05",
        "status": "approved",
        "scope": [
          "thesis",
          "claims",
          "tone",
          "privacy",
          "sources"
        ],
        "notes": "Human author approved publication.",
        "contentHash": "9293a231c785b90054853fa00438bddc4f8aaf91e35cbf580211c88327b2b44f"
      },
      {
        "reviewer": "human",
        "reviewedAt": "2026-07-18",
        "status": "approved",
        "scope": [
          "article"
        ],
        "notes": "Re-approved by maintainer after the meta#61 P2 series migration (hardcoded kicker strip + arc reorder; no prose change beyond the kicker line; issue #124 instruction).",
        "contentHash": "211e0a1c8244d345388638ddeee63bc67bd6844f5423090b3e15b17566b3d095"
      }
    ],
    "policy": {
      "id": "policy:default",
      "version": "1.0.0"
    }
  },
  "contentHash": "211e0a1c8244d345388638ddeee63bc67bd6844f5423090b3e15b17566b3d095",
  "diagnostics": {
    "accepted": [
      {
        "rule": "low-source-diversity",
        "scope": "article",
        "rationale": "Accepted as a quality backlog item per docs/diagnostics-triage-2026-07-15.md. The claim rests on sources that are sufficient for the current published version; additional independent sources will be added in a future research wave.",
        "documentedAt": "2026-07-15"
      }
    ]
  },
  "disclosure": {
    "aiAssistance": true,
    "note": "Researched, drafted, and structured with AI agents; approved for publication by a human reviewer."
  },
  "generatedAt": "2026-07-18T00:00:00.000Z",
  "articleUrl": "https://aura-knowledge.github.io/articles/gender-and-the-attention-economy/",
  "agentJsonPath": "/agents/articles/gender-and-the-attention-economy.json",
  "agentMarkdownPath": "/agents/articles/gender-and-the-attention-economy.md",
  "sourceRepoPath": "content/articles/2026/gender-and-the-attention-economy/article.md",
  "sourceGitHubUrl": "https://github.com/aura-knowledge/aura-knowledge.github.io/blob/main/content/articles/2026/gender-and-the-attention-economy/article.md",
  "tokenEstimate": 901,
  "sectionOutline": [
    {
      "id": "the-access-gap",
      "title": "The Access Gap"
    },
    {
      "id": "time-care-and-the-attention-tax",
      "title": "Time, Care, and the Attention Tax"
    },
    {
      "id": "safety-and-the-cost-of-visibility",
      "title": "Safety and the Cost of Visibility"
    },
    {
      "id": "the-creator-economys-gender-skew",
      "title": "The Creator Economy's Gender Skew"
    },
    {
      "id": "what-substance-would-look-like",
      "title": "What Substance Would Look Like"
    },
    {
      "id": "sources-and-method",
      "title": "Sources and Method"
    },
    {
      "id": "open-questions",
      "title": "Open Questions"
    },
    {
      "id": "related-in-this-series",
      "title": "Related in This Series"
    }
  ]
}