[en] Highlights: • Proposing two different destination selection preferences in a metapopulation model. • A Markov chain method is utilized to discuss the probabilities of information spreading. • Increasing the mobility has little effect on information spreading. • Prefer to move to higher information prevalence neighbors promotes information spreading. Many recent studies have shown that the characteristics of human activities such as mobility and network structure have significant impacts on information spreading. This paper proposes a destination selection strategy in a metapopulation model, there are two different destination selection preferences about the strategy. The Markov chain method is utilized to discuss the information spreading dynamics. In the experimental results of Erdös-Rényi (ER) network structure, when the movement preference is determined, the range of information propagation will increase slightly with the increase of mobility probability. Mobility has little impact on the information outbreak threshold. When exploring the impact of destination selection strategy on the scope of information dissemination, compared with moving to the neighbor nodes with lower information prevalence, individuals who prefer to move to the neighbors with higher information prevalence will bring more extensive information coverage. Similar phenomena are revealed on the Barabási-Albert (BA) model.