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The widespread online misinformation could cause public panic and serious economic damages. The misinformation containment problem aims at limiting the spread of misinformation in online social networks by launching competing campaigns. Motivated by realistic scenarios, we present an analysis of the misinformation containment problem for the case when an arbitrary number of cascades are allowed. This paper makes four contributions. First, we provide a formal model for multi-cascade diffusion and introduce an important concept called as cascade priority. Second, we show that the misinformation containment problem cannot be approximated within a factor of Ω(2log1− n4) in polynomial time unless NP ⊆ DTIME(npolylog n). Third,weintroduceseveraltypesofcascadepriority thatarefrequentlyseeninrealsocialnetworks. Finally,wedesignnovelalgorithms for solving the misinformation containment problem. The effectiveness of the proposed algorithm is supported by encouraging experimental results.