BEGIN:VCALENDAR VERSION:2.0 PRODID:-//pretalx//conferences.acspri.org.au//2026//speaker//7NDMGR BEGIN:VTIMEZONE TZID:AEST BEGIN:STANDARD DTSTART:20000326T040000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=3;UNTIL=20050326T170000Z TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:STANDARD DTSTART:20060402T040000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060401T170000Z TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:STANDARD DTSTART:20070325T040000 RRULE:FREQ=YEARLY;BYDAY=4SU;BYMONTH=3;UNTIL=20070324T170000Z TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:STANDARD DTSTART:20080406T040000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4 TZNAME:AEST TZOFFSETFROM:+1100 TZOFFSETTO:+1000 END:STANDARD BEGIN:DAYLIGHT DTSTART:20000827T030000 RRULE:FREQ=YEARLY;BYDAY=4SU;BYMONTH=8;UNTIL=20000826T170000Z TZNAME:AEDT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20011028T030000 RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20071027T170000Z TZNAME:AEDT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 END:DAYLIGHT BEGIN:DAYLIGHT DTSTART:20081005T030000 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=10 TZNAME:AEDT TZOFFSETFROM:+1000 TZOFFSETTO:+1100 END:DAYLIGHT END:VTIMEZONE BEGIN:VEVENT UID:pretalx-2026-3VPFVH@conferences.acspri.org.au DTSTART;TZID=AEST:20261125T153000 DTEND;TZID=AEST:20261125T154500 DESCRIPTION:Research on online communities shows that horizontal social con trol contributes to a sense of community that is important for sustaining these spaces. Through such control\, users regulate one another’s behavi or by identifying or criticizing norm violations. While these practices ca n strengthen a sense of community\, they also raise concerns that heighten ed sensitivity to others’ judgments may discourage participation. To exp lore how social control shapes participation in online communities\, this study focuses on call-outs as a public form of norm enforcement through wh ich users identify a user’s behavior as a norm violation and invite othe rs to judge it.\n\nFMKorea\, one of the largest online communities in Sout h Korea\, provides a “Colosseum” category where any user can post call -outs in the politics and current affairs forum. These posts appear alongs ide ordinary posts\, state a user’s username or ID\, and cite their post s or comments as evidence of norm violations\, allowing others to assess t he cited behavior and whether the call-out is justified. \n\nSuch call-out s may provide a pathway to influence within online communities. By publicl y pointing out perceived norm violations\, call-out authors act as informa l norm enforcers and then become more visible within the community. Conver sely\, influential users can easily be call-out authors drawing on their e xisting positions. To explore this interplay\, this study examines longitu dinally whether users’ positions in each network influence their subsequ ent call-out activity (influence process) and whether their level of call- out activity shapes subsequent changes in their ties within each network ( selection process).\n\nFurthermore\, call-outs may affect users beyond the ir authors and targets. When users observe those they interact with engagi ng in call-outs\, they may recognize that they\, too\, could become target s\, encouraging caution in posting and commenting. Alternatively\, interac ting with call-out authors may give these users greater confidence to expr ess their views. This study therefore examines whether ties with call-out authors inhibit or facilitate audience users’ subsequent activity.\n\nWe constructed post–comment (net_P) and comment–reply (net_C) networks f rom non-call-out posts and comments to distinguish users’ influence in a ttracting attention through posts from their influence in engaging others in discussion. The analysis included 117 users over three waves\; tie form ations/dissolutions ranged from 209–238/201–245 in net_P and 162–177 /117–153 in net_C. “Colosseum” posts were excluded from both network s and used to measure call-out activity as a behavioral variable. A stocha stic actor-oriented model (SAOM) analyzed influence and selection processe s while accounting for interdependencies between the two networks.\n\nPrel iminary findings suggest that higher indegree in the post–comment networ k significantly increases subsequent call-out activity\, which\, in turn\, significantly increases the likelihood of receiving replies in the commen t–reply network. In addition\, ties to call-out authors significantly de crease subsequent commenting among audience users. However\, the standardi zed mean net upvote score (upvotes minus downvotes) received per call-out post was not significantly associated with subsequent call-out activity\, nor was call-out activity significantly associated with the average call-o ut activity of users they interacted with in the comment–reply network.\ n\nOur findings suggest that call-outs may enable influential users to con vert broad attention gained through posts into direct interaction\, becomi ng more deeply embedded in the community’s relational structure. Meanwhi le\, call-outs may impose participation costs on audience users and constr ain discussion. This study deepens our understanding of how horizontal soc ial control interacts with power relations to shape the distribution of in fluence and patterns of participation in online communities. DTSTAMP:20261102T131210Z LOCATION:MacCallum Room SUMMARY:Whose influence grows\, and whose voice grows quieter? The relation al dynamics of call-outs in an online community - Ho Jun Joo\, Sujin Choi URL:https://conferences.acspri.org.au/2026/talk/3VPFVH/ END:VEVENT BEGIN:VEVENT UID:pretalx-2026-9S8G7Z@conferences.acspri.org.au DTSTART;TZID=AEST:20261125T154500 DTEND;TZID=AEST:20261125T160000 DESCRIPTION:Kakaotalk\, the most widely used instant messenger in South Kor ea\, allows anyone to create open-chat rooms where up to 4\,000 users can converse. Users can search for and anonymously join these rooms by topic. Such rooms may receive hundreds of messages daily\, yet only about ten are visible on a single screen. Thus\, tracking the conversation and reviewin g another participant’s earlier remarks requires additional effort. Desp ite these communicative constraints\, open-chat rooms have not been adequa tely examined in research on how users form ties through online conversati on. Accordingly\, this study examines how message characteristics and the frequency of co-participation shape the formation of conversation ties in these rooms.\nThe formation of conversation ties may be associated with th e extent of similarity in the content of two users’ messages. Users judg e from message content how far their interests overlap with another's\, an d the presence of someone with similar interests lowers the burden of addr essing a stranger\, engaging the tendency to associate with similar others .\nFurthermore\, the formation of conversation ties may be associated with the similarity of two users’ message lengths. Length may signal the eng agement a person brings to the conversation. Long messages elaborate on th oughts and experiences\, whereas short ones remain cursory. Users may addr ess participants whose message lengths reflect a level of engagement simil ar to their own.\nLastly\, the formation of conversation ties may be assoc iated with the frequency with which two users participate in the same conv ersation. Repeated co-participation in the same conversational stream heig htens users’ awareness of one another.\nTo this end\, this study uses a multiple regression quadratic assignment procedure (MR-QAP) to examine how message similarity\, differences in message length\, and the frequency of co-participation are associated with the subsequent formation of conversa tion ties. A total of 110\,515 messages were collected over roughly four m onths from an open-chat room focused on AI and divided into two periods\, T1 and T2. Rapid developments in AI quickly render accumulated knowledge o utdated\, making this room well suited to observing how users assess one a nother and form ties from limited cues. A conversation tie was defined as a directed link from each speaker to the immediately preceding speaker. Th e T2 network\, whose nodes were 349 active participants\, served as the de pendent variable\, while predictors were constructed from T1. Message simi larity was measured by cosine similarity between users’ messages\, lengt h difference by the absolute difference between their mean message lengths \, and co-participation by the number of times they joined the same conver sational stream. The T1 network and measures of preferential attachment\, reciprocity\, and transitivity derived from it were included as controls.\ nMessage similarity is expected to promote the formation of conversation t ies by revealing shared interests when little other information is availab le. Message length difference\, by contrast\, is expected to have a negati ve effect because a larger difference indicates dissimilar levels of engag ement. Co-participation frequency is also expected to have a positive effe ct because it increases the likelihood of tie formation through greater mu tual awareness and more opportunities to respond.\nOverall\, conversation ties in open-chat rooms are expected to form through immediate responses t o message-level cues when participants have little accumulated information about one another. If our expectations are supported\, they extend conve ntional accounts to a setting where the cues that guide attention are not records of past activity but the messages themselves. This study provides a starting point for examining how mechanisms identified in prior research operate differently in open-chat rooms and which other factors may become influential. DTSTAMP:20261102T131210Z LOCATION:MacCallum Room SUMMARY:Who replies to whom? The formation of conversation ties in open-cha t rooms - A-young\, Choi\, Sujin Choi URL:https://conferences.acspri.org.au/2026/talk/9S8G7Z/ END:VEVENT BEGIN:VEVENT UID:pretalx-2026-BJU9SB@conferences.acspri.org.au DTSTART;TZID=AEST:20261125T161500 DTEND;TZID=AEST:20261125T163000 DESCRIPTION:In online communities\, view counts\, upvote counts\, and comme nt counts indicate how users engage with posts. Posts receiving many view counts and upvote counts may be considered supported by other users\, wher eas posts with many comment counts tend to generate active discussion by p rompting additional opinions. Although comment counts can be positively co rrelated with view or upvote counts\, some users may receive high levels o f support but limited discussion\, while others may generate discussion de spite receiving relatively little support. Thus\, high support does not ne cessarily lead to active discussion\, and vice versa. Both types of users exhibit high levels of engagement with their posts and can therefore be cl assified as influencers\, but their characteristics differ depending on wh ether they primarily receive support from other users or encourage additio nal discussion. Consequently\, treating them as a single type of influence r may obscure the distinct influences and roles that each type plays withi n the community. Accordingly\, this study classifies influencers into thre e types based on whether they meet criteria for the level of support (view counts /upvote counts) and interaction (comment-based conversation networ ks)\, and aims to identify how the characteristics of the posts they creat e differ across these types.\nUsing data from the Politics/Current Affairs board of FMKorea\, one of the largest online communities in South Korea\, this study constructs a conversation network based on post–comment and comment–reply relationships. The conversation network constructed from 2 0\,306 posts and 87\,162 comments consists of 4\,765 nodes and 52\,458 edg es. Users with high in-eigenvector centrality are classified as “interac tion influencers\,” while users receiving high levels of support based o n view counts and upvote counts are classified as “support influencers. ” Users meeting both criteria are classified as “super influencers.” This approach enables a comparison between users who occupy central posit ions in discussions via posts and comments and those who receive support f rom the other user. To compare the three influencer groups\, we conduct mu ltiple regression quadratic assignment procedure (MRQAP) analyses using tw o dummy-coded group variables as independent variables. We estimate separa te models in which the dependent variable is pairwise similarity in one of four post characteristics: post length\, word use\, the use of external l inks\, and the number of comments authors leave on their own posts. These analyses examine whether similarities in post characteristics differ by in fluencer group. \nAs an expected result of this study\, the similarity in word use is expected to decrease significantly among interaction influence rs compared to support influencers. The use of common vocabulary\, such as popular expressions used within the community\, may help influencers rece ive more support from other users. The similarity in the use of external l inks is expected to be higher among interaction influencers than among sup port influencers. Providing information from external sources in posts may encourage users to participate in further discussions through comments. I nteraction influencers and super influencers are also expected to have mor e similar post characteristics to each other than to support influencers.\ nThis study contributes to the literature by distinguishing influencers fr om two perspectives—levels of support and the formation of interactive d iscussions—in order to account for their distinct roles their distinct r oles\, and by identifying how the characteristics of posts created by infl uencers who receive support differ from those of influencers who lead disc ussions. From a social perspective\, this study provides insight into the different roles that influencers may play in the process of opinion format ion in anonymous online communities\, such as sharing information from ext ernal sources and encouraging interaction. DTSTAMP:20261102T131210Z LOCATION:MacCallum Room SUMMARY:Who Receives Support\, and Who Generates Interaction?: Examining In fluencer Types and Post Characteristics Using MRQAP Analysis - LeeSeongEun \, Sujin Choi URL:https://conferences.acspri.org.au/2026/talk/BJU9SB/ END:VEVENT BEGIN:VEVENT UID:pretalx-2026-JVNFMC@conferences.acspri.org.au DTSTART;TZID=AEST:20261126T141500 DTEND;TZID=AEST:20261126T143000 DESCRIPTION:Previous climate change communication research has examined how news framing shapes attitudes\, emotions\, policy support\, and behaviora l intentions. However\, less attention has been paid to whether people wit h similar characteristics evaluate news using the same frame in similar wa ys and whether the factors associated with this similarity differ across f rames. Do conservatives evaluate climate news in ways similar to other con servatives\, and liberals in ways similar to other liberals? Or are simila r evaluations associated more with how people feel about climate change an d whom they trust for political information?\n\nThis study examines whethe r similarity in news quality evaluations is associated with similarities i n climate-related emotions (concern\, hope\, and anger)\, climate change k nowledge (perceived and objective knowledge)\, and political factors (poli tical ideology and political information-source trust). It also examines w hether these associations differ across climate change news frames.\n\nTo identify climate change news frames\, 7\,855 articles published between 20 21 and 2024 by six major national newspapers in South Korea were analyzed using semantic network analysis and CONCOR (CONvergence of iterated CORrel ations) analysis. Seven frames were identified: Harmful Impacts\, Human To uch\, Science\, Economic Consequence\, Responsibility & Accountability\, C limate Action\, and Power Battle. A web survey of 621 South Korean adults then measured participants’ evaluations of news stories representing eac h frame. Pairwise similarity matrices were constructed\, and separate Mult iple Regression Quadratic Assignment Procedure (MRQAP) models were estimat ed for each frame using the same set of variables.\n\nThe findings show th at the climate-related emotions associated with similar news quality evalu ations differed across frames. Similarity in concern was positively associ ated with evaluation similarity in Harmful Impacts\, Science\, Economic Co nsequence\, and Power Battle. Similarity in hope was positively associated with evaluation similarity in Harmful Impacts\, Human Touch\, Science\, a nd Economic Consequence. Similarity in anger was positively associated wit h evaluation similarity in Economic Consequence\, Responsibility & Account ability\, and Climate Action. These results show that different emotions w ere associated with similar evaluations depending on the frame used to pre sent climate change.\n\nClimate change knowledge showed distinct patterns across frames depending on whether it was subjective or objective. Similar ity in perceived knowledge was positively associated with evaluation simil arity in Harmful Impacts and Power Battle but negatively associated with i t in Climate Action. Similarity in objective knowledge was negatively asso ciated with evaluation similarity only in Economic Consequence. Perceived and objective knowledge were therefore associated with evaluation similari ty in different frames and showed no common pattern across all seven frame s.\n\nPolitical factors showed a clearer pattern. Similarity in political ideology was positively associated with evaluation similarity only in Resp onsibility & Accountability and Power Battle. By contrast\, similarity in political information-source trust was positively associated with evaluati on similarity across all seven frames. People who had similar levels of tr ust in political information sources were more likely to evaluate climate news similarly than people who merely shared a similar ideological positio n.\n\nThis study extends framing research by examining which shared audien ce characteristics are associated with similar evaluations of news using t he same frame. The findings suggest that similarity in climate news evalua tions is not explained by knowledge or political ideology alone. Climate-r elated emotions and trust in political information sources were also assoc iated with similar evaluations\, with political information-source trust s howing an association across all seven frames. Climate journalism should t herefore consider not only the factual and scientific information presente d in news but also the emotional and trust-based contexts through which au diences interpret it. In fragmented information environments\, differences in these contexts may shape whether audiences develop similar standards f or evaluating climate news across different frames. DTSTAMP:20261102T131210Z LOCATION:Sutherland Room SUMMARY:Who Evaluates Climate News Alike? The Role of Emotions and Climate Change Knowledge across Climate Change Frames - Gyeongju Hyun\, Sujin Choi URL:https://conferences.acspri.org.au/2026/talk/JVNFMC/ END:VEVENT END:VCALENDAR