The oil spill is considered as a crisis that caused a lot of impact on the marine environment. At the beginning of 2022, an oil spill crisis happened in Rayong Province, Thailand. This crisis caused more than 140 barrels of leakage. During the crisis, Twitter was one of the leading social networking services many people shared and posted news related to the situation. In this research, the analysis based on the content from Twitter for defining the reliability and nearly-real-time properties of Twitter has been performed. The cosine similarity has been selected to be the methodology to find the similarity for the Part of Speech (POS) between the contents from verified and non-verified Twitter accounts for proving the reliability property. The results of the analysis show that the contents posted on Twitter platform have timeliness property due to the increasing amount of the tweets posted since the beginning of the crisis. For the reliability property of Twitter, it can be proved by the high similarity value for nouns and adjectives tagged between the contents from verified and non-verified accounts.