01623nas a2200241   4500000000100000000000100001008004100002260001200043653002400055653002300079653001900102653001700121100001900138700001800157700002500175700002400200245012300224856005800347300000800405490001300413520094100426022001401367       9998                            d  c03/202410aBusiness Strategies10aInformation System10aMisinformation10aPolarization1 aAlberto Tejero1 aGalena Pisoni1 aZiba Habibi Lashkari1 aSergio Rios-Aguilar00aCombating Misinformation and Polarization in the Corporate Sphere: Integrating Social, Technological and AI Strategies  uhttps://www.ijimai.org/journal/bibcite/reference/3442  a1-90 vIn press3 aIn an era where misinformation and polarization present significant challenges, this research examines the root causes within social networks and assesses how corporations can use AI technologies for prompt detection. This research uses a dual approach: a "telephone game" with 225 participants from a Spanish university to study the spread of misinformation, and interviews with 15 experts from three French tech companies to investigate technological solutions. The findings indicate that almost one-third of participants inadvertently contribute to polarization, and around one-quarter propagated misinformation. The study also identifies the existing tools enhanced by AI and Machine Learning that effectively detect misinformation and polarization in corporate settings. This investigation provides crucial insights for practitioners to strengthen their strategies against misinformation and technical challenges and opportunities.  a1989-1660