Social@risk™ is an intelligent, transparent system where experts and stakeholders inform the algorithms that facilitate data structuring and analysis. The tool collects grievances and information about rights violations from social media. Experts transform these voices into insights for preventive action and organising remedy. Social@risk™ delivers intelligence about factory sites, suppliers, sectors, and regions.
Rights violations and inhumane working conditions are not private matters that corporations may handle internally. Workers have the right to know. We, therefore, want the results of our projects to become open access. Open source intelligence ensures transparency, enhances accountability, and empowers workers. Yet to ensure privacy and data integrity we encrypt and anonymise raw data.
Social@risk™ is a platform that develops with each project. The heart of our system consists of two elements: Social@riskBase is the core of our insight accumulation process. Dedicated crawlers screen the Internet and channel collected data into Social@riskBase. Experts read and analyse data with Social@riskLink; the second core of our system. Social@riskLink is a toolbox which contains different text structuring and clustering views.
Currently we store information in Chinese, Vietnamese, Thai, Khmer and Burmese. More languages will be added. Social@riskBase contains information on the textile industry, electronics manufacturing and the food sector. Each project broadens the scope of our data pool.
In order to ensure data security and integrity this database is encrypted and only experts can access it. Work tasks and fields define an expert’s access rights, i.e. experts can only see the data that is relevant for their particular assignment.
Experts use advanced keyword filtering and trace topics with timeline graphs of posts and visuals for word frequency rankings.
Experts read posts that are ranked with a ‘relevance algorithm’. We improve and fine-tune the algorithm with a machine learning approach.
Posts are exported into a network database where each post can stand in various relations with other texts or images
Social@risk™ is a platform for collecting, structuring, and analysing workers’ voices. We organise this process along four steps from data collection, to leverage. Our approach to data analysis and insight management establishes multiple feedback mechanisms between experts, partners, and intelligent machines. The outcome is an effective, and goal-oriented work flow.
We program crawlers that collect information from selected social media sites. We develop search algorithms and use machine learning to find workers voices in the collected data.Read More
Every voice matters. Our analyses concentrate on workers’ grievances and demands. Experts and intelligent machines together identify rights violations, record detailed information on malpractices, correlate risk factors, and monitor trends.Read More
We evaluate data along a continuum from information thick samples to information thin samples. The level of thickness depends on four features:
We read what workers write and piece information from social media posts together. We also use quantitative methods to support systematic, and effective preventive action. The transformation of analyses into actionable insights is geared towards workers’ needs and demandsRead More
Our partners use these insights to hold corporations accountable for violations and grievances, inform negotiations, define management priorities, and to follow up on remedies.Read More
Globalworks receives R&D funding for a third time from Vinnova under the framework “Social innovations” and from the Horizon 2020 (European Commission) under the framework “SME instruments”. During 2018 Social@risk™ generated social risk assessments for the Chinese electronics sector, the Thai food sector, and the Vietnamese textile sector. Globalworks’ expert and knowledge base have been growing with the integration of new country contexts and rapidly data volume.
Globalworks receives again R&D funding from Vinnova; this time under the framework “Innovative start-ups”. The aim of this project was to adapt the prototype of Social@risk™ to partner needs. Globalworks together with Vaude Sport GmbH and Stockholm County Council conducted the first grievance based social risk assessments in the Chinese electronics and textile sector.
Globalworks received R&D funding from Vinnova under the framework “Innovative enterprises” and developed the first prototype of Social@risk™.
The concept of Social@risk™ emerged out of Globalworks’ social media monitoring service. The purpose of this service to provide regular updates about online grievances related to land use rights and land evictions. Based on these experiences and insights, Globalworks developed the theoretical foundations of Social@risk™ in 2015 and applied for R&D funding from Vinnova – the Swedish Government agency for promoting innovation.