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MULTIPLATFORM APPROACH

We understand that different communication and information ecosystems cross through contemporary sociability.

 

That's why we create and maintain continuous and systematic monitoring with collections of data from online communication on various topics in different platforms: Twitter, Instagram, Facebook, Youtube, Whatsapp, Telegram, Tiktok, Google Ads and Meta Ads - plus professional media news portals and junk news.

 

Our research seeks to map the role of each internet space in the organization of disinformation. We develop social science methods combined with computational communication to expand, create and implement research strategies in order to empirically and critically investigate the effects of the media ecosystem on public opinion.

We understand that different communication and information ecosystems cross through contemporary sociability.

 

That's why we create and maintain continuous and systematic monitoring with collections of data from online communication on various topics in different platforms: Twitter, Instagram, Facebook, Youtube, Whatsapp, Telegram, Tiktok, Google Ads and Meta Ads - plus professional media news portals and junk news.

 

Our research seeks to map the role of each internet space in the organization of disinformation. We develop social science methods combined with computational communication to expand, create and implement research strategies in order to empirically and critically investigate the effects of the media ecosystem on public opinion.


MULTIPLATFORM APPROACH

Identificar as estratégias de produção, disseminação e monetização de atores sociais envolvidos em campanhas de desinformação nas plataformas online que atingem mulheres. 

A primeira parte do estudo pretende identificar, descrever e analisar anúncios fraudulentos contendo golpes e fraudes com venda tratamentos milagrosos e sem eficácia que causam danos à saúde das mulheres, observando a publicidade veiculada nas plataformas da Meta (dona do Facebook, Instagram, Messenger e Audience Network).

A segunda parte do estudo pretende é identificar a monetização de conteúdo misógino a partir de rastreamento e análise de vídeos e canais do Youtube. Também serão mapeados os anunciantes que veiculam peças nesses vídeos e a cadeia de valor gerada pela plataforma. 

 


MULTIPLATFORM APPROACH

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