Unveiling global narratives of restoration policy: Big data insights into competing framings and implications

• Restoration dominates the articulation of policy goals addressing challenging threats to people and the environment. • Restoration discourses vary across the terminologies used and only a few discourses elevate quick fixes like tree planting. • Restoration discourses foster both ecological and human-centered framings, but ecological framings are more prominent. • Limited discussion of rural livelihoods, tenure rights, or tradeoffs between environmental objectives and local needs. • Restoration discourses hold implications for expected socio-ecological gains, with risks of uneven and negative outcomes. Restoration has become a key environmental policy goal of the contemporary era. Yet, what restoration means and how it is pursued remains an object of debate. This study examines the nature of restoration discourses on Twitter – a large, open, and global record of public discussions around contemporary restoration matters. We apply machine learning-powered text analysis of about 350,000 geolocated tweets spanning 2015-2022, focusing on four main restoration terms – landscape restoration; forest and landscape restoration; ecological restoration; and ecosystem restoration. Findings reveal a wide diversity of environmental policies framed through the language of restoration, underscoring its public appeal and use by different institutions from global to national and subnational scales. Restoration discourses foster both ecological and human-centered framings, with the former being more prominent. Other distinct discourses convey promotional efforts, momentum building, political engagement by proponent actors, and what restoration should deliver. Only a few discourses feature quick fixes such as tree planting, potentially implying that contemporary restoration interventions are more diverse than headline-grabbing targets to plant trees. There is little discussion of rural livelihoods, tenure rights, or tradeoffs between environmental objectives and local needs. Although the discourses vary across the restoration terms, we find some shared discourses as well as unique ones. We underscore how restoration discourses carry different worldviews with implications for the purported socio-ecological benefits of restoration. Our work shows how data-driven analysis of social media can shed light on the rhetoric of restoration policy agendas and their nuances among a broad spectrum of social and policy actors.

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Institutions

Publication Details

Journal
Geoforum
Published
2025-03-05
DOI
https://doi.org/10.1016/j.geoforum.2025.104241
Citations
6
Primary Topic
Cultural Heritage Management and Preservation
Type
article
Field-Weighted Citation Impact
49.64

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article

Unveiling global narratives of restoration policy: Big data insights into competing framings and implications

Junjun Yin, Guangqing Chi, Ida N.S. Djenontin, Harry W. Fischer
6 citations
Geoforum
Cultural Heritage Management and Preservation
49.64
article

Unveiling global narratives of restoration policy: Big data insights into competing framings and implications

Junjun Yin, Guangqing Chi, Ida N.S. Djenontin, Harry W. Fischer
article en
6 citations

Abstract

• Restoration dominates the articulation of policy goals addressing challenging threats to people and the environment. • Restoration discourses vary across the terminologies used and only a few discourses elevate quick fixes like tree planting. • Restoration discourses foster both ecological and human-centered framings, but ecological framings are more prominent. • Limited discussion of rural livelihoods, tenure rights, or tradeoffs between environmental objectives and local needs. • Restoration discourses hold implications for expected socio-ecological gains, with risks of uneven and negative outcomes. Restoration has become a key environmental policy goal of the contemporary era. Yet, what restoration means and how it is pursued remains an object of debate. This study examines the nature of restoration discourses on Twitter – a large, open, and global record of public discussions around contemporary restoration matters. We apply machine learning-powered text analysis of about 350,000 geolocated tweets spanning 2015-2022, focusing on four main restoration terms – landscape restoration; forest and landscape restoration; ecological restoration; and ecosystem restoration. Findings reveal a wide diversity of environmental policies framed through the language of restoration, underscoring its public appeal and use by different institutions from global to national and subnational scales. Restoration discourses foster both ecological and human-centered framings, with the former being more prominent. Other distinct discourses convey promotional efforts, momentum building, political engagement by proponent actors, and what restoration should deliver. Only a few discourses feature quick fixes such as tree planting, potentially implying that contemporary restoration interventions are more diverse than headline-grabbing targets to plant trees. There is little discussion of rural livelihoods, tenure rights, or tradeoffs between environmental objectives and local needs. Although the discourses vary across the restoration terms, we find some shared discourses as well as unique ones. We underscore how restoration discourses carry different worldviews with implications for the purported socio-ecological benefits of restoration. Our work shows how data-driven analysis of social media can shed light on the rhetoric of restoration policy agendas and their nuances among a broad spectrum of social and policy actors.

GeoforumVol. 161
Pennsylvania State University (US), Swedish University of Agricultural Sciences (SE)
National Science Foundation, Svenska Forskningsrådet Formas, Vetenskapsrådet, National Institute of Food and Agriculture, Eunice Kennedy Shriver National Institute of Child Health and Human Development
Sustainable cities and communities
Openalex Percentile: Top 0%
Cultural Heritage Management and Preservation
49.64
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