微调 BERT 分析奥地利议会演讲:联合执政党发言风格趋同
Analysing Austrian Parliamentary Speeches by Predicting Party Affiliations
有人拿 BERT 分析了奥地利议会 22 年的演讲,发现联合执政的政党说话越来越像,退党议员也是换了党才改口风。
论文用微调 BERT 模型对奥地利国民议会议员的演讲进行党派归属预测,输出每篇演讲在各党派上的概率分布,再汇总到演讲者和党派层面。研究覆盖 1996 至 2018 年的议会演讲数据。结果显示联合执政的党派演讲特征更相似,反对党则与执政党逐渐疏远。更换党派的议员通常在更换之后才会调整其演讲风格。团队公开了带党派预测标签的数据集。
Analysing Austrian Parliamentary Speeches by Predicting Party Affiliations
This paper examines speech characteristics of the Austrian National Council members (CMs). We introduce analysis methodology based on a fine-tuned BERT-Model which assigns to every speech a probability distribution over Austrian parties. These are then aggregated at the speaker and party level. We perform an extensive evaluation to ensure the quality of the generated distributions prior to further analysis. Instead of considering mis-assignments of predicted parties as a performance issue, we leverage them to derive insights about the CMs and political developments. Our findings show that parties that govern together become more similar in their speech characteristics, while, analogously, parties that are in opposition move further away from governing parties. Moreover, CMs who switch party usually adapt their speech characteristics only after the switch occurs. Finally, we publicly release a data set containing party affiliation predictions for the speeches of the Austrian National Council from 1996 to 2018.