🤖 AI Summary
This study investigates the computational complexity of manipulating election outcomes through limited voter mobilization—modeled as strategic campaigning or “bribery-style” attacks—in parliamentary systems featuring electoral thresholds and multiple districts. Employing both classical and parameterized complexity theory, complemented by large-scale experiments on real-world election data, the work systematically characterizes the intractability boundaries of this manipulation problem under several prominent seat allocation rules. It further introduces a novel “second-chance” voting mechanism designed to mitigate the exclusion of small parties due to threshold effects. Experimental results demonstrate that optimal manipulation strategies substantially outperform heuristic approaches, while the proposed mechanism proves both practically feasible and computationally tractable in realistic settings.