族群作為一個區隔人群的社會分類原則對台灣民眾的政治活動與國家認同有相當程度的影響。當族群內部的國家與身分認同和其他族群之間存有相當差異時，跨族群政治討論會是相當敏感的議題，本文旨在探討台灣跨族群政治討論網絡之組成，以及影響跨族群政治討論形成之因素，並且回答以下幾個問題：1)跨族群界限的政治討論是否存在？2)如果跨族群的政治對話的確存在時，又是什麼因素及在什麼條件下，一個社會行動者願意進行這樣的政治討論？運用「族群關係基礎調查」研究所收集的全國代表性樣本(n=1,401)，勾勒台灣族群政治討論關係圖像。資料結果指出台灣跨族群政治討論相當程度受族群態度與政治對話興趣的影響，同時其作用力因族群而有差異。跨族群政治討論關係之形成主要仍受到社會關係強度、社會異質性與政治立場一致性的影響，並反映族群間政治權力地位的差異，人口多數族群較可能透過主動遊說政黨立場不同的他族朋友，而少數族群的跨族政治互動則偏向強化自己和互動他人相同的政治見解。族群互動中當被比較的族群產生與「刻板印象」的「地位不一致」現象時，會抑制跨族群互動。

When individual political attitudes and notions of national identity indicate strong eth-nic differentiation, political discussion networks that cross ethnic lines can exert a signifi-cant impact on political-social integration. The authors address three questions regarding this topic: a) What common tendencies can be identified in the formation of political discus-sion networks that cross ethnic lines? b) What respondent variables (e.g., inter-ethnic con-tact experience, inter-ethnic language fluency, inter-ethnic psychological makeup, inter-eth-nic consciousness, and extent of political motivation) are associated with the formation of political discussions that cross ethnic lines? and c) To what extent do such respondent/dyadic variables as degree of relational closeness, heterogeneity of respondent-contact social bac-kgrounds, and homogeneity of respondent-contact political preferences influence the forma-tion of political discussion networks that cross ethnic lines. Data from a stratified represen-tative sample in Taiwan indicate that such networks reflect inter-ethnic psychological ma-keups, intra-ethnic consciousness, and political motivation. Thus, the respondent/dyadic variables exert different effects on cross-ethnic political discussion network formation, with majority viewholders making greater effort to persuade friends from other ethnic back-grounds, and minority viewholders reinforcing their own political preferences. An addi-tional factor discussed in this paper is ethnic stereotyping.

政治網絡、族群、社會網絡分析、社會資本

political networks, ethnicity, social network analysis, social capital