ANALYZING DATA TO PROVIDE ALERTS TO CONVERSATION PARTICIPANTS

A computer implemented method of controlling the incidence of spoilers in a conversation that includes calculating a baseline of events of interest for participants to a conversation, the calculating of the baseline including machine learning applied to interest indicators for the participants, the interest indicators being derived from data collected from social media accounts of the participants and calendars of the participants in response the participant granting permission for the data collection. The method further includes monitoring of real time conversation between the parties for keywords indicative of a topic of the real time conversation, wherein a spoiler message is predicted when the keywords substantially match the baseline for the events of interest. The method may further include sending an anti-spoiler signal to the participants of the conversation when the keywords substantially match the baseline for the events of interest.