01819naa a2200229 a 450000100080000000500110000800800410001902400530006010000180011324500990013126000090023052011530023965000170139265000220140965300280143165300160145970000140147570000200148970000200150970000160152977300440154521526812023-03-24       2023    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.1109/ACCESS.2023.32379842DOI1 aSOARES, N. D.  aData analysis in social networks for agribusinessba systematic review.h[electronic resource]  c2023  aThe ability of companies to react to changes imposed by the market can be aided by to information acquisition and knowledge generation. Big data technologies, crowdsourcing, and Online Social Networks (OSN) are used for knowledge generation. These technologies have assumed a significant position in agribusiness in recent decades. This work investigates how social network analysis can promote agribusiness to provide a basis for future applications and evaluations. We adopted a hybrid systematic mapping to conduct the investigation. Two hundred twenty-three works that propose solutions for agribusiness were found and categorized. Results showed the most used OSN is Twitter and revealed an increase in the number of studies in this area. The information obtained indicates how social media monitoring can complement traditional decision-making methods in managing and regulating agricultural systems. However, more studies in agribusiness using data analysis tools on social networks are required, considering the importance of social networks on marketing strategies. Based on our results, we discuss some challenges and research directions.  aAgronegócio  aAnálise de Dados  aMapeamento sistemático  aRede social1 aBRAGA, R.1 aDAVID, J. M. N.1 aSIQUEIRA, K. B.1 aSTROELE, V.  tIEEE Accessgv. 11, p. 8422-8432, 2023.