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Using a representative Taiwan sample from the 2019 Asia Barometer Survey, this study investigated the effect of political interest on two types of political participation (i.e., participation in electoral campaigns and political advocacy) based on the communication mediation model. Findings showed that three communication channels (i.e., news involvement, on-line political expression, and off-line political discussion) mediate the positive relationship between political interest and participation through different paths. When people are more interested in politics, they will be more likely to read political news, leading to more on-line political expression, which then motivates higher level of political participation. In parallel, political interest could also increase political participation first through news involvement and then through off-line political discussion. More importantly, compared with the total indirect effects on participation in electoral campaigns, political interest could exert stronger indirect effect on participation in political advocacy through the three communication channels under study. In addition, the mediating effect of on-line political expression is more powerful than off-line political discussion in mobilizing participation in political advocacy. However, in terms of participation in electoral campaigns, indirect effect through on-line and off-line communication showed no significant difference. Implications of the findings are discussed. [ABSTRACT FROM AUTHOR]

Our paper relies on the cultural semiotics of Lotman which we bring to bear on political theory in order to develop a methodological framework that we have referred to as "political semiotics" in our previous work during the past decade. In our first section, we synthesize the core categories of the Essex school (Laclau, Mouffe, and others) of political analysis and the Tartu-Moscow school of cultural semiotics. In the next section, we move further to putting forth a concrete methodological framework for analyzing social/political reality by relating theories of power, governance, and democracy to the Jakobsonian model of communication. We call this method "political form analysis". The guiding idea of the latter is that it is not the content (i. e. substance) of communication, but rather the form (hierarchical relations of the aspects of communication) is the crucial focus of political analysis. In the final section, we illustrate our approach by explaining the constitution of the COVID-19 crisis and their governance in Taiwan. The country has had enormous success in containing the crisis during its first waves, but has also been surprisingly unsuccessful in the third phase (starting in the spring of 2021). [ABSTRACT FROM AUTHOR]

Catch-per-unit-effort (CPUE) is often the main piece of information used in fisheries stock assessment; however, the catch and effort data that are traditionally compiled from commercial logbooks can be incomplete or unreliable due to many reasons. Pacific bluefin tuna (PBF) is a seasonal target species in the Taiwanese longline fishery. Since 2010, detailed catch information for each PBF has been made available through a catch documentation scheme. However, previously, only market landing data with a low coverage of logbooks were available. Therefore, several nontraditional procedures were performed to reconstruct catch and effort data from many alternative data sources not directly obtained from fishers for 2001–2015: (1) Estimating the catch number from the landing weight for 2001–2003, for which the catch number information was incomplete, based on Monte Carlo simulation; (2) deriving fishing days for 2007–2009 from voyage data recorder data, based on a newly developed algorithm; and (3) deriving fishing days for 2001–2006 from vessel trip information, based on linear relationships between fishing and at-sea days. Subsequently, generalized linear mixed models were developed with the delta-lognormal assumption for standardizing the CPUE calculated from the reconstructed data, and three-stage model evaluation was performed using (1) Akaike and Bayesian information criteria to determine the most favorable variable composition of standardization models, (2) overall R2 via cross-validation to compare fitting performance between area-separated and area-combined standardizations, and (3) system-based testing to explore the consistency of the standardized CPUEs with auxiliary data in the PBF stock assessment model. The last stage of evaluation revealed high consistency among the data, thus demonstrating improvements in data reconstruction for estimating the abundance index, and consequently the stock assessment. [ABSTRACT FROM AUTHOR]