Bibliography

Contents

Bibliography#

References#

[AGP+22]

Michal Adamik, Jozef Goga, Jarmila Pavlovicova, Andrej Babinec, and Ivan Sekaj. Fast robotic pencil drawing based on image evolution by means of genetic algorithm. Robotics and Autonomous Systems, 148:103912, 2022. URL: https://www.sciencedirect.com/science/article/pii/S0921889021001974.

[ALN+22]

Noujoud Ahbali, Xinyuan Liu, Albert Nanda, Jamie Stark, Ashit Talukder, and Rupinder Paul Khandpur. Identifying corporate credit risk sentiments from financial news. In Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 362–370. 2022.

[Alt68]

Edward I Altman. Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The journal of finance, 23(4):589–609, 1968.

[BJL06]

Michael L Barnett, John M Jermier, and Barbara A Lafferty. Corporate reputation: the definitional landscape. Corporate reputation review, 9:26–38, 2006.

[BEF+08]

Alan S Blinder, Michael Ehrmann, Marcel Fratzscher, Jakob De Haan, and David-jan Jansen. Central bank communication and monetary policy: a survey of theory and evidence. Journal of economic literature, 46(4):910–945, 2008.

[Bro93]

Dennis Basil Bromley. Reputation, image and impression management. John Wiley & Sons, 1993.

[CGZE19]

Caroline Chan, Shiry Ginosar, Tinghui Zhou, and Alexei A Efros. Everybody dance now. In Proceedings of the IEEE/CVF international conference on computer vision, 5933–5942. 2019.

[CLBT21]

David Chang, Eric C. Lin, Cynthia Brandt, and Richard Andrew Taylor. Incorporating domain knowledge into language models by using graph convolutional networks for assessing semantic textual similarity: model development and performance comparison. JMIR medical informatics, 2021. doi:10.2196/23101.

[Che11]

Paola Cherchiello. Statistical models to measure corporate reputation. Journal of Applied Quantitative Methods, 2011.

[CCCN19]

Siyoung Chung, Mark Chong, Jie Sheng Chua, and Jin Cheon Na. Evolution of corporate reputation during an evolving controversy. Journal of Communication Management, 23(1):52–71, 2019.

[CAHM11]

Elanor Colleoni, Adam Arvidsson, Lars K Hansen, and Andrea Marchesini. Measuring corporate reputation using sentiment analysis. In Proceedings of the 15th International Conference on Corporate Reputation: Navigating the Reputation Economy, New Orleans, USA. 2011.

[Cor22]

Arkangel Miguel Cordero. Greenwashing through compliance to renewable portfolio standards. Edward Elgar Publishing eBooks, 2022. doi:10.4337/9781839105340.00040.

[Dee00]

David L Deephouse. Media reputation as a strategic resource: an integration of mass communication and resource-based theories. Journal of management, 26(6):1091–1112, 2000.

[DD91]

Jane E Dutton and Janet M Dukerich. Keeping an eye on the mirror: image and identity in organizational adaptation. Academy of management journal, 34(3):517–554, 1991.

[EDI22]

Pavlova Elena, A.R. Druzhinina, and D.S. Ivanov. Analysis of the methods of external and internal environmental management of organizations, ways to minimize greenwashing. Economics and Environmental Management, 2022. doi:10.17586/2310-1172-2022-15-1-126-133.

[FVR97]

Charles Fombrun and Cees Van Riel. The reputational landscape: a convergence of research and practice. Corporate reputation review, 1(1 and 2):1–16, 1997.

[FGS00]

Charles J Fombrun, Naomi A Gardberg, and Joy M Sever. The reputation quotient sm: a multi-stakeholder measure of corporate reputation. Journal of brand management, 7:241–255, 2000.

[GGP23]

Marco Ghitti, Gianfranco Gianfrate, and Lorenza Palma. The agency of greenwashing. Journal of Management and Governance, pages 1–37, 2023.

[GSC00]

Dennis A Gioia, Majken Schultz, and Kevin G Corley. Organizational identity, image, and adaptive instability. Academy of management Review, 25(1):63–81, 2000.

[GZZ+22]

Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, and Li Cheng. Generating diverse and natural 3d human motions from text. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 5152–5161. 2022.

[HMM20]

Andrew Haldane, Alistair Macaulay, and Michael Mcmahon. The 3 e's of central bank communication with the public. Available at SSRN 3518605, 2020.

[HKS17]

Daniel Holden, Taku Komura, and Jun Saito. Phase-functioned neural networks for character control. ACM Transactions on Graphics (TOG), 36(4):1–13, 2017.

[KLS+20]

Gary A Kane, Gonçalo Lopes, Jonny L Saunders, Alexander Mathis, and Mackenzie W Mathis. Real-time, low-latency closed-loop feedback using markerless posture tracking. Elife, 9:e61909, 2020.

[KSL+22]

Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, and Rynson Wh Lau. Modnet: real-time trimap-free portrait matting via objective decomposition. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 36, 1140–1147. 2022.

[KBL+22]

Ian Kelk, Benjamin Basseri, Wee Lee, Richard Qiu, and Chris Tanner. Automatic fake news detection: are current models “fact-checking” or“gut-checking”? In Proceedings of the Fifth Fact Extraction and VERification Workshop (FEVER), 29–36. Dublin, Ireland, May 2022. Association for Computational Linguistics. URL: https://aclanthology.org/2022.fever-1.4, doi:10.18653/v1/2022.fever-1.4.

[KKC22]

Jihoon Kim, Jiseob Kim, and Sungjoon Choi. Flame: free-form language-based motion synthesis & editing. arXiv preprint arXiv:2209.00349, 2022.

[KMR+23]

Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C Berg, Wan-yen Lo, and Others. Segment anything. arXiv preprint arXiv:2304.02643, 2023. URL: https://ai.facebook.com/research/publications/segment-anything/.

[LMS23]

Irene Larraz, Ruben Miguez, and Francesca Sallicati. Semantic similarity models for automated fact-checking: claimcheck as a claim matching tool. Profesional De La Informacion, 2023. URL: https://revista.profesionaldelainformacion.com/index.php/EPI/article/download/87284/63433, doi:10.3145/epi.2023.may.21.

[Lee18]

Young Joon Lee. eKoNLPy: A Korean NLP Python Library for Economic Analysis. 2018. entelecheia/eKoNLPy.

[LKP19]

Young Joon Lee, Soohyon Kim, and Ki Young Park. Deciphering monetary policy board minutes with text mining: the case of south korea. Korean Economic Review, 35(2):471–511, 2019.

[LR21]

Rob E Loke and W Reitter. Aspect based sentiment analysis on online review data to predict corporate reputation. In DATA, 343–352. 2021.

[LL21]

Weichen Luo and Cheng Long. Fact Checking on Knowledge Graphs. Springer International Publishing, 2021. doi:10.1007/978-3-030-62696-9_7.

[MMC+18]

Alexander Mathis, Pranav Mamidanna, Kevin M Cury, Taiga Abe, Venkatesh N Murthy, Mackenzie Weygandt Mathis, and Matthias Bethge. Deeplabcut: markerless pose estimation of user-defined body parts with deep learning. Nature neuroscience, 21(9):1281–1289, 2018.

[MHHMolgaard19]

Rastin Matin, Casper Hansen, Christian Hansen, and Pia Mølgaard. Predicting distresses using deep learning of text segments in annual reports. Expert Systems with Applications, 132:199–208, 2019.

[Mer74]

Robert C Merton. On the pricing of corporate debt: the risk structure of interest rates. The Journal of finance, 29(2):449–470, 1974.

[NSodegaard11]

Randi Naes, Johannes A Skjeltorp, and Bernt Arne ødegaard. Stock market liquidity and the business cycle. The Journal of Finance, 66(1):139–176, 2011.

[NSS+22]

Noémi Nemes, Stephen J Scanlan, Pete Smith, Tone Smith, Melissa Aronczyk, Stephanie Hill, Simon L Lewis, A Wren Montgomery, Francesco N Tubiello, and Doreen Stabinsky. An integrated framework to assess greenwashing. Sustainability, 14(8):4431–4431, 2022. URL: https://www.mdpi.com/2071-1050/14/8/4431/pdf?version=1649419317, doi:10.3390/su14084431.

[NWC+12]

Le T Nguyen, Pang Wu, William Chan, Wei Peng, and Ying Zhang. Predicting collective sentiment dynamics from time-series social media. In Proceedings of the first international workshop on issues of sentiment discovery and opinion mining, 1–8. 2012.

[OconnorBRS10]

Brendan O'connor, Ramnath Balasubramanyan, Bryan Routledge, and Noah Smith. From tweets to polls: linking text sentiment to public opinion time series. In Proceedings of the international AAAI conference on web and social media, volume 4, 122–129. 2010.

[PKM+18]

Xue Bin Peng, Angjoo Kanazawa, Jitendra Malik, Pieter Abbeel, and Sergey Levine. Sfv: reinforcement learning of physical skills from videos. ACM Transactions On Graphics (TOG), 37(6):1–14, 2018.

[PBD20]

Stephanie Perkiss, Leopold Bayerlein, and Bonnie Amelia Dean. Facilitating accountability in corporate sustainability reporting through spotlight accounting. Accounting, Auditing & Accountability Journal, 34(2):397–420, 2020. doi:10.1108/AAAJ-08-2019-4142.

[RF99]

Violina P Rindova and Charles J Fombrun. Constructing competitive advantage: the role of firm–constituent interactions. Strategic management journal, 20(8):691–710, 1999.

[RD02]

Peter W Roberts and Grahame R Dowling. Corporate reputation and sustained superior financial performance. Strategic management journal, 23(12):1077–1093, 2002.

[RiGbCj+20]

Margarita Rodriguez-ibanez, Francisco-javier Gimeno-blanes, Pedro Manuel Cuenca-jimenez, Sergio Munoz-romero, Cristina Soguero, and José Luis Rojo-álvarez. On the statistical and temporal dynamics of sentiment analysis. IEEE Access, 8:87994–88013, 2020.

[SDSKs18]

Eli Shlizerman, Lucio Dery, Hayden Schoen, and Ira Kemelmacher-shlizerman. Audio to body dynamics. In Proceedings of the IEEE conference on computer vision and pattern recognition, 7574–7583. 2018.

[ST22]

Lars Speckemeier and Dimitrios Tsivrikos. Evidence of greenwashing in talent attraction: is deceptive marketing an effective recruiting strategy? European Journal of Business and Management Research, 7(3):14–25, 2022.

[Tea23]

E+T Editorial Team. Competition watchdog to clamp down on 'greenwashing'. Engineering & Technology, 18(2):11–11, 2023. doi:10.1049/et.2023.3204.

[TRG+22]

Guy Tevet, Sigal Raab, Brian Gordon, Yonatan Shafir, Daniel Cohen-or, and Amit H Bermano. Human motion diffusion model. arXiv preprint arXiv:2209.14916, 2022.

[TCNW21]

Zhengyan Tong, Xuanhong Chen, Bingbing Ni, and Xiaohang Wang. Sketch generation with drawing process guided by vector flow and grayscale. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 35, 609–616. 2021. URL: https://ojs.aaai.org/index.php/AAAI/article/view/16140/15947.

[WWZM21]

Shuai Wang, Penghui Wei, Jiahao Zhao, and Wenji Mao. A knowledge enhanced learning and semantic composition model for multi-claim fact checking. arXiv: Artificial Intelligence, 2021. URL: https://arxiv.org/pdf/2104.13046.

[XWI+21]

Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, and Florian Shkurti. Physics-based human motion estimation and synthesis from videos. In Proceedings of the IEEE/CVF International Conference on Computer Vision, 11532–11541. 2021.

[YYF+22]

Ran Yi, Zipeng Ye, Ruoyu Fan, Yezhi Shu, Yong-jin Liu, Yu-kun Lai, and Paul L Rosin. Animating portrait line drawings from a single face photo and a speech signal. In ACM SIGGRAPH 2022 Conference Proceedings, 1–8. 2022. URL: https://drive.google.com/file/d/14HOmhHQlcr-x2yRh_S7b-j6CZ2mmDt1E/view?usp=sharing.

[ZCP+22]

Mingyuan Zhang, Zhongang Cai, Liang Pan, Fangzhou Hong, Xinying Guo, Lei Yang, and Ziwei Liu. Motiondiffuse: text-driven human motion generation with diffusion model. arXiv preprint arXiv:2208.15001, 2022.

[14]

강장구 and 심명화. 한국 주식시장의 매도, 매수 유동성 비대칭에 대한 연구. 한국증권학회지, 43(2):327–358, 2014.

[15]

강장구 and 장지원. 주식시장 유동성의 실물경기변동 예측력에 관한 연구. 재무연구, 28(1):71–108, 2015.