International Business Machines Corporation

Anish Ramasekar

Lin Sun

Frank J Budinsky

Briana Frank

David C Tropeano

A message being constructed for posting on a messaging platform is analyzed to extract a set of message characteristics. A past period is computed for a channel on the messaging platform. A set of channel characteristics is extracted from a past period data posted in the channel during the past period. When a threshold degree of match exists between the set of message characteristics and the set of channel characteristics, a characteristic is determined that is different in the message characteristics and the channel characteristics, and which is desirable in the channel. A recommendation is constructed to include (i) a channel identifier of the channel to suggest posting the message in the channel, and (ii) a change to the message according to the corresponding characteristic in the set of channel characteristics, wherein the change to the message increases a degree of acceptability of the message in the channel.

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Austin, TX, United States of America

Anish Ramasekar